{"product_id":"jethexa-2027","title":"JetHexa2027 ROS 2 AI Hexapod Robot – LLM \u0026 OpenClaw, LiDAR SLAM \u0026 3D Depth Vision","description":"\u003cstyle\u003e\u003c!--\n .templateProduct .tab-content table td {\n \n padding: 7px 5px;\n }\n body {\n font-family: \"Montserrat\", sans-serif !important;\n }\n \n .templateProduct .tab-content {\n padding-top: 2%;\n }\n \n .page-product.layout-extended .product-simple-tab .nav:before {\n top: 39px;\n }\n \n .tab-content .tab-pane ul {\n padding: 0 0 43px 0px;\n }\n \n .swatch-container .swatch-group .input-group label{\n justify-content: normal;\n padding:6px 6px 6px 12px;\n }\n \n .descItem-h2 {\n padding-bottom: 20px;\n display: flex;\n justify-content: center;\n align-items: center;\n gap: 21%;\n }\n #tabs-1 {\n display: none;\n }\n \n .imageItem \u003e .border {\n margin-bottom: 10px;\n border: 1px solid #e6e6e6 ;\n }\n \n \n .dotLine {\n width: 100%;\n height: 1px;\n margin-bottom: 46px;\n text-align: center;\n border-bottom: 2px dashed #ccc;\n }\n \n \n .border {\n display: block;\n margin: 0 auto;\n border: 1px solid #e6e6e6 ;\n }\n \n .mainImg {\n width: 100%;\n height: auto;\n margin-bottom: 46px;\n }\n \n .head {\n line-height: 1.3;\n font-family: \"Montserrat\", sans-serif;\n font-weight: bold;\n font-size: 30px;\n margin-bottom: 12px;\n text-align: center;\n }\n .head-video{\n text-align: left;\n }\n .desc {\n font-weight: 400;\n font-family: \"Montserrat\", sans-serif;\n font-size: 18px;\n color: #101010;\n line-height: 2;\n }\n \n .descItem {\n margin-bottom: 50px !important;\n }\n \n .descItem \u003e .head {\n line-height: 30px;\n font-family: \"Montserrat\", sans-serif;\n font-weight: bold;\n font-size: 30px;\n margin-bottom: 10px;\n text-align: center;\n }\n .descItem \u003e .head-h3{\n text-align: left;\n }\n .imageItem \u003e .head-h3{\n text-align: left !important;\n }\n .descItem \u003e .desc {\n font-weight: 400;\n font-family: \"Montserrat\", sans-serif;\n font-size: 16px;\n color: rgba(16, 16, 16, 100);\n line-height: 1.66;\n \n }\n .descItem \u003e .downImg{\n margin-top: 15px;\n }\n .descItem \u003e.noDesc{\n margin-top: 12px;\n }\n .iframeContainer {\n line-height: 20px;\n text-align: center;\n border: 1px solid rgba(255, 255, 255, 100);\n }\n .mb-30{\n margin-bottom: 30px;\n }\n .mb-50{\n margin-bottom: 50px;\n }\n .iframeContainer \u003e .iframe {\n width: 100%;\n margin-top: 17px;\n border: none;\n }\n \n \n .imageContainer {\n padding-bottom: 43px;\n display: flex;\n justify-content: space-between;\n gap: 2%;\n }\n .imageItem \u003e .a-span6{\n margin-bottom: 12px;\n flex: 1;\n }\n .imageItem \u003e img {\n margin-bottom: 20px;\n width: 100%;\n }\n \n .twolevelright \u003e .twolevel \u003e img {\n width: 100%;\n margin-bottom: 24px;\n }\n \n \n .premium-module.four-column-images{\n display: flex;\n justify-content: space-between;\n gap: 20px;\n align-items: flex-start;\n }\n \n .premium-module.four-column-images .a-column{\n width: 32%;\n display: flex;\n flex-direction: column;\n min-width: 0;\n }\n \n .premium-module.four-column-images .a-column1{\n width: 32%;\n display: flex;\n flex-direction: column;\n min-width: 0;\n }\n \n .premium-module.four-column-images .a-section-image{\n display: block;\n width: 100%;\n height: auto;\n }\n \n .premium-module.four-column-images .column-image,\n .premium-module.four-column-images .column-head,\n .premium-module.four-column-images .column-description{\n display: block;\n margin: 0;\n padding: 0;\n height: auto;\n }\n \n .premium-module.four-column-images .head{\n margin: 12px 0 0;\n font-size: 16px;\n line-height: 1.3;\n font-weight: 700;\n text-align: center;\n height: 40px;\n display: flex;\n align-items: center;\n justify-content: center;\n }\n \n .premium-module.four-column-images .description{\n margin-top: 8px;\n font-size: 14px;\n line-height: 1.66;\n text-align: left;\n }\n .product-tabs .tab-item table tr:not(:last-child) th {\n border-bottom: 1px solid var(--body-border-color);\n }\n .Packing-head{\n padding-top: 30px;\n }\n .Packing-head-x{\n line-height: 1.3;\n font-family: \"Montserrat\", sans-serif;\n font-weight: bold;\n font-size: 30px;\n text-align: center;\n margin-bottom: 12px;\n } .descItem \u003e img {\n width: 100%;\n }\n \n .multi-desc{\n margin-top: 10px;\n }\n \n .viewMore{\n position: absolute;\n width: 150px;\n margin-left: 15px;\n text-align: center;\n font-size: 20px;\n padding: 4px 6px;\n border-radius: 30px;\n border: 1px solid #f98800;\n color: #fff;\n background: #f98800;\n }\n .viewMore:hover{\n color: #fff;\n }\n \/* 大图容器 *\/\n .image-overlay-container {\n width: 100%;\n margin-bottom: 46px;\n }\n\n \/* 相对定位的包装器，作为小图的定位参考 *\/\n .image-overlay-wrapper {\n position: relative;\n width: 100%;\n display: block;\n }\n\n \/* 大图样式 *\/\n .image-overlay-bg {\n width: 100%;\n height: auto;\n display: block;\n }\n\n \/* 叠加的小图样式 *\/\n .image-overlay-item {\n position: absolute;\n width: 46.3%; \/* 小图宽度占大图的20%，可根据需要调整 *\/\n height: auto;\n }\n\n \/* 第一张小图位置（左上角） *\/\n .image-overlay-item.item-1 {\n left: 3%; \/* 距离左边10%，可根据需要调整 *\/\n bottom: 4%; \/* 距离顶部15%，可根据需要调整 *\/\n }\n\n \/* 第二张小图位置（右下角） *\/\n .image-overlay-item.item-2 {\n right: 3%; \/* 距离右边10%，可根据需要调整 *\/\n bottom: 4%; \/* 距离底部15%，可根据需要调整 *\/\n }\n .imageContainer \u003e .imageItem {\n width: 100%;\n display: flex;\n flex-direction: column;\n }\n .video-grid-2 {\n display: grid;\n grid-template-columns: repeat(2, 1fr);\n gap: 40px 24px;\n }\n .video-item .head {\n margin-bottom: 12px;\n font-size: 20px;\n }\n .blog-item .head {\n font-size: 14px;\n }\n .show {\n transition: all .3s linear;\n animation: show .3s linear;\n display: block !important;\n }\n .hide {\n transition: all .3s linear;\n animation: hide .3s linear;\n display: none !important;\n }\n .control_type {\n position: relative;\n }\n \n \n .imageDescContainer {\n width: 96%;\n display: block;\n margin: 0 auto;\n \n }\n \n .titlepicfile-a{\n position: relative;\n }\n .titlepicfile-b{\n position: absolute;\n left: 50px;\n top: 70px;\n color: #fff;\n }\n .titlepicfile-head{\n font-size: 55px;\n font-weight: 600;\n }\n .titlepicfile-desc{\n font-size: 27px;\n margin-left: 3px;\n }\n \n .imageDescContainer \u003e .head,\n .imageItem \u003e .head {\n text-align: center;\n margin-bottom: 6px;\n font-size: 20px;\n width: 96%;\n margin-left: auto;\n margin-right: auto;\n }\n .title-gap{\n height: 60px;\n display: grid;\n align-items: center;\n }\n \n .imageDescContainer \u003e .head-nodesc {\n text-align: center;\n line-height: 1.3;\n font-weight: bold;\n margin-bottom: 0px;\n font-size: 23px;\n }\n .lonely-head{\n line-height: 1.3;\n font-family: \"Montserrat\", sans-serif;\n font-weight: bold;\n font-size: 30px;\n margin-bottom: 40px;\n text-align: center;\n }\n .secHead {\n line-height: 30px;\n font-weight: bold;\n font-size: 22px;\n margin-bottom: 4px;\n margin-top: 8px;\n text-align: center;\n }\n .imageDescContainer \u003e .desc,\n .imageItem \u003e .desc {\n font-size: 16px;\n line-height: 1.66;\n text-align: left;\n width: 96%;\n margin-left: auto;\n margin-right: auto;\n }\n \n .mo {\n display: none !important;\n }\n \n .pc {\n display: block !important;\n }\n \n .pcflex {\n display: flex;\n }\n \n \n .imageIte {\n width: 32%;\n height: auto;\n }\n \n .stress-head{\n text-align: center;\n font-weight: 600;\n background: #5E5E5E;\n color: #fff;\n font-size: 24px;\n width: 660px;\n border-radius: 4px;\n height: 45px;\n line-height: 45px;\n margin: 15px auto;\n }\n \n .imageIte \u003e img {\n margin-bottom: 10px;\n width: 100%;\n border-radius: 5px;\n border: 1px solid rgba(230, 230, 230, 100);\n }\n \n .titimg{\n width: 37%;\n margin-bottom: 14px;\n }\n \n .packageList td {\n border: 1px solid rgba(187, 187, 187, 100);\n line-height: 20px;\n text-align: center !important;\n width: 302px;\n height: 48px;\n padding-top: 7px !important;\n color: rgba(16, 16, 16, 100);\n font-size: 18px;\n font-weight: 400;\n }\n \n .packageList {\n position: relative;\n display: block;\n width: fit-content;\n border-spacing: 7px !important;\n border-collapse: separate !important;\n margin: 0 auto;\n margin-bottom: 43px !important;\n }\n \n .packageList .small {\n width: 71px;\n text-align: center !important;\n }\n \n .packageList .long {\n width: 300px;\n text-align: left !important;\n }\n \n .packageList .ll {\n width: 361px;\n text-align: left !important;\n }\n .premium-module{\n padding-bottom: 46px;\n }\n .packageList tr:first-child td {\n border-top: 1px solid rgba(187, 187, 187, 100) !important;\n }\n \n .packageList tr:last-child td {\n border-bottom: 1px solid rgba(187, 187, 187, 100) !important;\n }\n \n .raspberryLogo{\n display: flex;\n align-items: center;\n justify-content: center;\n }\n .raspberryLogo .logo{\n width: 30px;\n margin-right: 6px;\n }\n .raspberryLogo .head{\n margin-bottom: 8px;\n }\n .longImg-c{\n position: relative;\n font-size: 0;\n margin-bottom: 46px;\n }\n .longImg-d{\n position: absolute;\n width: 100%;\n \n }\n .longImg-top{\n top: 40px;\n }\n .longImg-top1{\n top: 60px;\n }\n .longImg-d .float-head{\n font-size: 34px;\n font-weight: 700;\n text-align: center;\n }\n .longImg-d .float-desc{\n font-size: 18px;\n line-height: 2;\n padding: 0 60px;\n margin-top: 15px;\n }\n \n .imageItem table.a-bordered {\n border: 1px solid #BBBFBF;\n }\n .a-column table.a-bordered td, .a-column table.a-bordered th{\n border: 1px solid #ddd;\n }\n .a-column table.a-bordered{\n border: 1px solid #ddd;\n height: 100%;\n border-collapse: collapse;\n }\n .a-column table.a-bordered .bgcl{\n background-color: #efefef;\n }\n .imageItem table.has-bgc tr:nth-child(odd) {\n background-color: #efefef;\n }\n .imageItem table.a-bordered tr td {\n padding: 8px 4px;\n font-size: 15px;\n }\n .imageItem table.a-bordered tr:nth-child(even) {\n background-color: #FFF;\n }\n .imageItem .a-text-bold{\n font-weight: 700;\n }\n .img-t{\n margin-bottom: 24px;\n }\n .secdesc{\n font-size: 18px;\n color: #101010;\n line-height: 2;\n }\n .apm-hiwonder-tablemodule .apm-tablemodule-table {\n border-bottom: 1px solid #ddd;\n table-layout: auto;\n }\n .apm-hiwonder-tablemodule .apm-tablemodule-table th {\n padding-bottom: 12px;\n text-align: center;\n }\n .apm-hiwonder-tablemodule .apm-tablemodule-image {\n background-color: #fff;\n padding: 0 !important;\n text-align: center;\n overflow: hidden;\n vertical-align: bottom;\n }\n .apm-hiwonder-tablemodule .apm-tablemodule-table .apm-tablemodule-keyhead {\n border-top: 1px solid #ddd;\n padding: 8px 14px 6px ;\n background-color: #f7f7f7;\n font-weight: 600;\n color: #626262;\n float: none !important;\n margin-right: 0;\n text-align: center;\n }\n .apm-hiwonder-tablemodule .apm-tablemodule-table .apm-tablemodule-keyvalue td {\n padding-top: 8px ;\n padding-left: 14px;\n padding-bottom: 8px;\n border-top: 1px solid #ddd;\n border-bottom: 1px solid #ddd;\n text-align: center;\n width: 240px;\n }\n .apm-spacing {\n display: flex;\n }\n .apm-floatleft {\n display: flex;\n width: 72%;\n justify-content: space-between;\n }\n .apm-leftimage {\n width: 45%;\n }\n .apm-centerthirdcol {\n width: 54%;\n }\n .apm-centerthirdcol ul li{\n font-size: 16px;\n line-height: 2;\n }\n .apm-fixed-width .a-spacing-mini {\n font-size: 18px;\n font-weight: 600;\n margin-bottom: 12px;\n }\n .apm-floatleft .a-spacing-base {\n margin-bottom: 16px;\n font-size: 16px;\n line-height: 2;\n }\n .apm-rightthirdcol-inner \u003e p {\n font-size: 18px;\n font-weight: 600;\n margin-bottom: 22px;\n }\n .apm-listbox {\n background-color: #f3f3f3;\n border-radius: 4px;\n border: 1px #ddd solid;\n }\n .apm-rightthirdcol .a-box-inner \u003e .a-vertical {\n font-size: 16px;\n padding: 20px 20px 20px 40px;\n }\n .apm-rightthirdcol .apm-rightthirdcol-inner .a-box-inner .a-vertical \u003e li:not(:last-child) {\n margin-bottom: 11px;\n }\n .a-size-base {\n line-height: 19px;\n }\n .td-br-left{\n border-left: 1px solid #bbbfbf;\n text-align: center;\n }\n .notice-section{\n padding-bottom: 30px;\n padding-left: 6px;\n }\n .notice-section \u003e p{\n font-size: 16px;\n }\n .carousel-container {\n width: 100%;\n margin: 0 auto;\n overflow: hidden;\n position: relative;\n cursor: pointer;\n }\n .carousel-content {\n display: flex;\n transition: transform 0.5s ease;\n }\n .carousel-item {\n flex: 0 0 100%;\n position: relative;\n }\n \n .carousel-item img {\n width: 100%;\n height: 100%;\n }\n \n .carousel-btn {\n position: absolute;\n top: 50%;\n transform: translateY(-50%);\n cursor: pointer;\n font-size: 24px;\n padding: 10px;\n }\n \n .carousel-prev {\n left: 10px;\n color: #5e76b2;\n }\n \n .carousel-next {\n right: 10px;\n color: #5e76b2;\n }\n \n .carousel-indicators {\n text-align: center;\n position: absolute;\n bottom: 20px;\n left: 50%;\n transform: translateX(-50%);\n display: flex;\n align-items: center;\n }\n \n .carousel-indicator {\n display: inline-block;\n width: 12px;\n height: 12px;\n border-radius: 50%;\n background-color: #bbb;\n margin: 0 5px;\n cursor: pointer;\n }\n \n .carousel-indicator.active {\n background-color: #5e76b2;\n }\n .tutorials{\n background: #EEEEEE;\n border-radius: 6px;\n margin-bottom: 30px;\n }\n .tutorials \u003e p{\n padding: 20px;\n text-align: center;\n word-break: break-word;\n }\n .tutorials \u003e p \u003e a:first-child{\n color: #f98800;\n font-size: 18px;\n font-weight: bold;\n }\n .tutorials \u003e p \u003e a:last-child{\n color: #007df9;\n text-decoration-line: underline;\n }\n @media screen and (min-width: 1025px) {\n .descItem.short-pad{\n padding-bottom: 20px;\n }\n .switch_picture {\n display: flex;\n justify-content: space-between;\n max-width: 1220px;\n margin: 0 auto;\n align-items: center;\n }\n .tab-nav {\n flex: 36%;\n padding-right: 7px;\n }\n \n .tab-nav li {\n padding-left: 50px;\n cursor: pointer;\n transition: all .2s ease-out;\n }\n .tab-nav .nav-tit {\n font-size: 16px;\n margin-bottom: 16px;\n width: 262px;\n padding: 12px 0px;\n border-radius: 30px;\n line-height: 10px;\n border: 1px solid #000000d9;\n text-align: center;\n }\n .tab-nav .nav-tit:hover{\n background-color: #0000000a;\n }\n .li-active .nav-tit {\n color: #fff;\n background-color: #000;\n }\n .li-active .nav-tit:hover{\n background-color: #000c;\n }\n .tab-right-img {\n flex: 70%;\n }\n .tab-right-img .img-show{\n display: block;\n }\n .tab-right-img li{\n display: none;\n }\n \n }\n \n @media screen and (max-width: 1024px) {\n .control_type_pc {\n display: none;\n }\n }\n\n @media screen and (max-width: 700px) {\n .video-grid-2 {\n grid-template-columns: 1fr;\n gap: 0px;\n }\n .iframeContainer \u003e .iframe {\n margin-bottom: 1px;\n margin-top: 8px;\n }\n .mb-50{\n margin-bottom: 20px;\n }\n .ulFeature \u003e li {\n line-height: inherit;\n }\n \n .imageItem.fourimg \u003e .fourimgline \u003e img {\n margin-bottom: 10px;\n }\n \n .premium-module.four-column-images .a-column,\n .premium-module.four-column-images .a-column1 {\n margin-bottom: 30px;\n width: 100%;\n }\n \n .premium-module.four-column-images .a-column1.a-column2_2 {\n width: 48%;\n } .dotLine {\n margin-bottom: 30px;\n }\n .imageItem \u003e .border {\n margin-bottom: 10px;\n }\n .imageItem table.a-bordered tr td{\n padding: 3px;\n }\n \n .imageIte \u003e img {\n margin-bottom: 10px;\n }\n .packageList td {\n font-size: 16px;\n }\n \n .imageIte {\n width: 100%;\n margin-bottom: 30px;\n }\n \n .item \u003e img {\n margin: 0 auto;\n display: block;\n margin-bottom: 17px;\n }\n \n .descItem \u003e .head {\n font-size: 20px;\n line-height: 22px;\n }\n \n .descItem \u003e .desc {\n font-size: 12px;\n }\n \n .descItem \u003e.noDesc{\n margin-top: 5px;\n }\n \n .stress-head{\n font-size: 12px;\n line-height: 20px;\n width: auto;\n padding: 6px 0;\n margin: 10px auto;\n height: unset;\n }\n \n .descContainer \u003e .head {\n text-align: center;\n font-size: 20px;\n line-height: 22px;\n margin-bottom: 8px;\n }\n \n .descContainer \u003e .desc {\n font-size: 16px;\n line-height: inherit;\n }\n \n .titlepicfile-head {\n font-size: 20px;\n }\n .titlepicfile-b {\n left: 9px;\n top: 13px;\n }\n .titlepicfile-desc{\n font-size: 12px;\n margin-left: 0px;\n width: 200px;\n }\n \n .descItem {\n padding-bottom: 30px;\n }\n .page-product.layout-extended .product-simple-tab .nav li {\n padding: 3px;\n margin-right: 4px;\n }\n \n .product-simple-tab .nav li a {\n line-height: 24px;\n font-size: 15px;\n }\n \n .page-product.layout-extended .product-simple-tab .nav li:before {\n display: none !important;\n }\n \n .mainImg {\n margin-bottom: 30px;\n }\n .premium-module.four-column-images .a-column .head,\n .premium-module.four-column-images .a-column1 .head {\n font-size: 14px;\n }\n .tab-content .tab-pane ul {\n padding: 0 0 30px 0px;\n }\n \n .head {\n font-size: 20px;\n margin-bottom: 10px;\n }\n \n .imageContainer {\n display: block;\n padding-bottom: 0px;\n }\n \n .imageContainer \u003e .imageItem {\n width: 100%;\n }\n .premium-module{\n padding-bottom: 0;\n }\n .imageItem {\n margin-bottom: 30px;\n }\n .img-t{\n margin-bottom: 15px;\n }\n .secHead{\n margin-top: 6px;\n font-size: 18px;\n margin-bottom: 3px;\n }\n .secdesc{\n font-size: 15px;\n line-height: 1.66;\n }\n .desc {\n font-size: 16px;\n line-height: inherit;\n }\n .lonely-head{\n margin-bottom: 15px;\n font-size: 20px;\n }\n .Packing-head{\n padding-top: 0px;\n margin-bottom: 2px;\n }\n .Packing-head-x{\n font-size: 20px;\n }\n .imageDescContainer \u003e .head-nodesc{\n font-size: 18px;\n }\n .imageDescContainer {\n width: 100%;\n display: block;\n margin: 0 auto;\n \n }\n .viewMore {\n font-size: 16px;\n padding: 4px 2px;\n width: 120px;\n margin: 10px auto 35px;\n }\n .imageDescContainer \u003e .head,\n .imageItem \u003e .head {\n margin: 0 0 5px;\n text-align: center;\n font-size: 14px;\n line-height: 1.25em;\n width: 100%;\n }\n \n .imageDescContainer \u003e .desc,\n .imageItem \u003e .desc {\n font-size: 12px;\n width: 100%;\n }\n .carousel-btn{\n display: none;\n }\n \n .carousel-indicators{\n padding: 10px;\n transform: unset;\n position: unset;\n justify-content: center;\n }\n .mo {\n display: block !important;\n }\n \n .pc {\n display: none !important;\n }\n \n .premium-module.four-column-images {\n flex-wrap: wrap;\n } .title-gap{\n height: unset;\n display: block;\n }\n .raspberryLogo .logo{\n width: 24px;\n }\n \n .imageIt \u003e img {\n margin-bottom: 10px;\n border-radius: 5px;\n border: 1px solid #e6e6e6;\n }\n \n .premium-module.four-column-images .column-head,\n .premium-module.four-column-images .column-head1 {\n line-height: 22px;\n margin: 12px 0 5px;\n text-align: center;\n height: unset;\n }\n .premium-module.four-column-images .description {\n font-size: 12px;\n }\n \n .premium-module.four-column-images .a-column1.a-column2_2 .head {\n font-size: 14px;\n } .imageItem.fourimg {\n margin-bottom: 0px;\n }\n .mo-imgs \u003e .imageIte{\n width: 48%;\n margin-bottom: 20px;\n }\n .apm-hiwonder-tablemodule{\n overflow: auto;\n }\n .apm-hiwonder-tablemodule .apm-tablemodule-table{\n table-layout: unset;\n }\n .apm-hiwonder-tablemodule .apm-tablemodule-table .apm-tablemodule-keyvalue td{\n min-width: 150px;\n }\n .apm-spacing {\n flex-direction: column;\n }\n .apm-floatleft {\n flex-direction: column;\n margin-bottom: 12px;\n }\n .apm-floatleft, .apm-leftimage, .apm-centerthirdcol {\n width: 100%;\n }\n .apm-leftimage img {\n border: 1px solid #e6e6e6;\n border-radius: 5px;\n }\n .apm-fixed-width .a-spacing-mini {\n margin-bottom: 6px;\n margin-top: 30px;\n }\n .apm-floatleft .a-spacing-base {\n margin-bottom: 8px;\n font-size: 15px;\n }\n .apm-rightthirdcol-inner \u003e p {\n margin-bottom: 13px;\n }\n .apm-rightthirdcol .a-box-inner \u003e .a-vertical,.apm-centerthirdcol ul li{\n font-size: 15px;\n line-height: 1.66;\n }\n .apm-rightthirdcol{\n padding-top: 23px;\n }\n .titimg{\n width: 70%;\n margin-bottom: 4px;\n }\n .notice-section \u003e p{\n font-size:13px;\n }\n .tutorials \u003e p{\n padding: 10px;\n \n }\n .tutorials \u003e p \u003e a:first-child{\n font-size: 14px;\n }\n }\n --\u003e\u003c\/style\u003e\n \n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-1.jpg?v=1789524771\" alt=\"Hiwonder JetHexa ROS 2 Large AI Model Hexapod Robot featuring 3D depth camera, LiDAR mapping, and embodied AI voice interaction\" class=\"mainImg pc\"\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-1_42201601-0740-4f3c-8ad6-b9ad4ab6be92.jpg?v=1789524960\" alt=\"Hiwonder JetHexa ROS 2 Large AI Model Hexapod Robot featuring 3D depth camera, LiDAR mapping, and embodied AI voice interaction\" class=\"mainImg mo\"\u003e\n\n\n \u003cdiv class=\"descItem\"\u003e \n \u003ch2 class=\"head\"\u003eProduct Description\u003c\/h2\u003e\n \u003cp class=\"desc\"\u003eJetHexa is an advanced AI robot engineered for high-level ROS education. Featuring an 18DOF hexapod chassis powered by inverse kinematics, it delivers smooth omnidirectional mobility. The system integrates high-performance hardware—including Jetson or Raspberry Pi 5 controllers, LiDAR, a 3D depth camera, an AI voice module, and an LCD screen—fully compatible with mainstream algorithm frameworks for one-click deployment of SLAM navigation, dynamic obstacle avoidance, and multi-point navigation. Driven by multimodal foundation models and the OpenClaw AI agent, JetHexa closes the loop from multi-dimensional perception to physical execution. With Python programming support, comprehensive tutorials, and open-source code, it redefines the embodied AI development experience.\u003c\/p\u003e\n \u003c\/div\u003e\n \u003cdiv class=\"imageContainer\"\u003e\n \u003cdiv class=\"imageItem\"\u003e\n \u003cimg alt=\"Embodied AI Applications\" loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-2-1.jpg?v=1789435734\"\u003e\n \u003ch3 class=\"head\"\u003eEmbodied AI Applications\u003c\/h3\u003e\n \u003cp class=\"desc\"\u003eEmpowered by high-performance hardware and multi-dimensional sensors combined with multimodal large models, JetHexa achieves next-level human-robot collaboration and intelligent task execution.\u003c\/p\u003e\n \u003c\/div\u003e\n \u003cdiv class=\"imageItem\"\u003e\n \u003cimg alt=\"Deploys Large AI Models\" loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-2-2.jpg?v=1789435734\"\u003e\n \u003ch3 class=\"head\"\u003eDeploys Large AI Models\u003c\/h3\u003e\n \u003cp class=\"desc\"\u003eIntegrating vision, voice, and text AI models, JetHexa intelligently perceives surroundings, plans actions, and executes tasks. This unlocks advanced Embodied AI applications, including emotion perception, scene understanding, target tracking, and AI-driven navigation.\u003c\/p\u003e\n \u003c\/div\u003e\n \u003c\/div\u003e\n \u003cdiv class=\"imageContainer\"\u003e\n \u003cdiv class=\"imageItem\"\u003e\n \u003cimg alt=\"3D Depth Camera \u0026amp; 3D Vision\" loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-2-3.jpg?v=1789435734\"\u003e\n \u003ch3 class=\"head\"\u003e3D Depth Camera \u0026amp; 3D Vision\u003c\/h3\u003e\n \u003cp class=\"desc\"\u003eEquipped with an advanced 3D depth camera, JetHexa generates real-time depth maps and point cloud data to precisely capture spatial depth information, enabling accurate distance measurement, edge detection, and versatile visual applications.\u003c\/p\u003e\n \u003c\/div\u003e\n \u003cdiv class=\"imageItem\"\u003e\n \u003cimg alt=\"LiDAR \u0026amp; Precision Perception\" loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-2-4.jpg?v=1789444179\"\u003e\n \u003ch3 class=\"head\"\u003eLiDAR \u0026amp; Precision Perception\u003c\/h3\u003e\n \u003cp class=\"desc\"\u003eEquipped with TOF LiDAR, encoders, and IMU, JetHexa achieves precise SLAM mapping navigation and route network planning. It detects dynamic obstacles in real-time to optimize path planning, ensuring high efficiency in complex environments. \u003c\/p\u003e\n \u003c\/div\u003e\n \u003c\/div\u003e \n\n\n \u003ch2 class=\"head descItem\"\u003eDual-Controller Design for Efficient Collaboration\u003c\/h2\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-3-0.jpg?v=1789524824\" alt=\"Host Controller\" class=\"mainImg pc\"\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-3-0_401a2c6f-48e0-4539-8ff1-71046a9575c2.jpg?v=1789525031\" alt=\"Host Controller\" class=\"mainImg mo\"\u003e\n \u003cdiv class=\"premium-module four-column-images\"\u003e\n \u003cdiv class=\"a-column1\"\u003e\n \u003cimg loading=\"lazy\" class=\"a-section-image\" alt=\"Equipped with LiDAR \u0026amp; Supports SLAM Mapping Navigation\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-3-1.jpg?v=1789435774\"\u003e\n \u003ch3 class=\"a-section column-head head\"\u003eEquipped with LiDAR \u0026amp; Supports SLAM Mapping Navigation\u003c\/h3\u003e\n \u003cp class=\"a-section column-description description\"\u003eWith dual Guoke COIN-D6 or Slamtec C1 LiDAR options, JetHexa adapts to diverse development needs, reliably powering SLAM mapping, autonomous navigation, obstacle avoidance, and dynamic tracking.\u003c\/p\u003e\n \u003c\/div\u003e\n \u003cdiv class=\"a-column1\"\u003e\n \u003cimg loading=\"lazy\" class=\"a-section-image\" alt=\"LCD Display \u0026amp; Ready-to-Run Demos\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-3-2.jpg?v=1789435775\"\u003e\n \u003ch3 class=\"a-section column-head head\"\u003eLCD Display \u0026amp; Ready-to-Run Demos\u003c\/h3\u003e\n \u003cp class=\"a-section column-description description\"\u003eFeaturing a built-in color LCD screen to display real-time system parameters, JetHexa enables out-of-the-box AI interactions right upon startup—including face tracking, gesture control, and body posture control.\u003c\/p\u003e\n \u003c\/div\u003e\n \u003cdiv class=\"a-column1\"\u003e\n \u003cimg loading=\"lazy\" class=\"a-section-image\" alt=\"3D Depth Camera \u0026amp; Depth Image Processing\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-3-3.jpg?v=1789435775\"\u003e\n \u003ch3 class=\"a-section column-head head\"\u003e3D Depth Camera \u0026amp; Depth Image Processing\u003c\/h3\u003e\n \u003cp class=\"a-section column-description description\"\u003eThe 3D depth camera can not only realize AI visual feature, but also enable advanced gameplay such as depth image data processing and 3D visual mapping navigation.\u003c\/p\u003e\n \u003c\/div\u003e\n \u003cdiv class=\"a-column1\"\u003e\n \u003cimg loading=\"lazy\" class=\"a-section-image\" alt=\"Intelligent Bus Servo\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-3-4.jpg?v=1789435775\"\u003e\n \u003ch3 class=\"a-section column-head head\"\u003eIntelligent Bus Servo\u003c\/h3\u003e\n \u003cp class=\"a-section column-description description\"\u003eJetHexa is equipped with a 35KG high-torque smart bus servo, which has high precision, feedback, and convenient wiring.\u003c\/p\u003e\n \u003c\/div\u003e\n \u003c\/div\u003e\n\n\n \u003cdiv class=\"descItem\"\u003e \n \u003ch2 class=\"head\"\u003eWhy Choose JetHexa?\u003c\/h2\u003e\n \u003cp class=\"desc\" style=\"text-align: center;\"\u003eA Professional Embodied AI Development Platform Engineered for ROS Developers\u003c\/p\u003e\n \u003c\/div\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-4-1.jpg?v=1789524864\" alt=\"Large Al Model x OpenClaw Agent\" class=\"mainImg\"\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-4-2.jpg?v=1789444252\" alt=\"Extensive ROS Development Projects\" class=\"mainImg\"\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-4-3.jpg?v=1789435837\" alt=\"Advanced Inverse Kinematics\" class=\"mainImg\"\u003e\n\n \n \u003cdiv class=\"descItem\"\u003e \n \u003ch2 class=\"head\"\u003eJetHexa Function List\u003c\/h2\u003e\n \u003cp class=\"desc\" style=\"text-align: center;\"\u003eFeatures marked with an asterisk * require a 3D Depth Camera.\u003c\/p\u003e\n \u003c\/div\u003e\n\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-5.jpg?v=1789435870\" alt=\"JetHexa Function List\" class=\"mainImg pc\"\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-5_0a5b5ab5-ab77-4923-958b-63a778a6b6b4.jpg?v=1789439110\" alt=\"JetHexa Function List\" class=\"mainImg mo\"\u003e\n\n \u003cdiv class=\"descItem\"\u003e \n \u003ch2 class=\"head\"\u003eEmpowering Embodied AI with Multimodal Models\u003c\/h2\u003e\n \u003cp class=\"desc\"\u003eIntegrated with multimodal AI models, JetHexa supports both online API integration and offline local deployment, ensuring stable operation even without internet access. By fusing data from the 3D depth camera, LiDAR, and AI voice module, JetHexa forms a complete perception-decision-action loop to drive advanced embodied AI applications such as autonomous navigation and smart inspection.\u003c\/p\u003e\n \u003c\/div\u003e\n\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-6.jpg?v=1789524908\" alt=\"Al Voice Module Built-in NPU\" class=\"mainImg pc\"\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-6_392220d6-ed8f-48cc-9687-c26f55c8b863.jpg?v=1789525084\" alt=\"Al Voice Module Built-in NPU\" class=\"mainImg mo\"\u003e\n\n\n \u003ch2 class=\"head descItem\"\u003eLarge AI Model × OpenClaw SLAM Mapping \u0026amp; Navigation\u003c\/h2\u003e\n \n \u003cdiv class=\"imageContainer\"\u003e\n \u003cdiv class=\"imageItem\"\u003e\n \u003cimg alt=\"Autonomous Task Decomposition\" loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-7-1.jpg?v=1789435910\"\u003e\n \u003ch3 class=\"head\"\u003eAutonomous Task Decomposition\u003c\/h3\u003e\n \u003cp class=\"desc\"\u003eLeveraging the advanced logical reasoning of multimodal AI models, JetHexa accurately deciphers complex instructions and autonomously breaks them down into actionable sub-tasks, translating ambiguous semantics directly into physical execution.\u003c\/p\u003e\n \u003c\/div\u003e\n \u003cdiv class=\"imageItem\"\u003e\n \u003cimg alt=\"Proactive Response\" loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-7-2.jpg?v=1789435911\"\u003e\n \u003ch3 class=\"head\"\u003eProactive Response\u003c\/h3\u003e\n \u003cp class=\"desc\"\u003eWhen encountering anomalies or ambiguous commands, JetHexa proactively inspects the environment and proposes optimal solutions, ensuring continuous and highly efficient task execution without interruption.\u003c\/p\u003e\n \u003c\/div\u003e\n \u003c\/div\u003e\n \u003cdiv class=\"imageContainer\"\u003e\n \u003cdiv class=\"imageItem\"\u003e\n \u003cimg alt=\"Autonomous Navigation × Scene Understanding\" loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-7-3.jpg?v=1789435911\"\u003e\n \u003ch3 class=\"head\"\u003eAutonomous Navigation × Scene Understanding\u003c\/h3\u003e\n \u003cp class=\"desc\"\u003eWith deep environmental comprehension and advanced spatial awareness, JetHexa autonomously plans optimal paths and flexibly avoids obstacles during multi-point navigation, accurately completing routing and interactive tasks.\u003c\/p\u003e\n \u003c\/div\u003e\n \u003cdiv class=\"imageItem\"\u003e\n \u003cimg alt=\"Intelligent Information Aggregation\" loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-7-4.jpg?v=1789435911\"\u003e\n \u003ch3 class=\"head\"\u003eIntelligent Information Aggregation\u003c\/h3\u003e\n \u003cp class=\"desc\"\u003eJetHexa accurately captures visual information and analyzes on-site data to automatically synthesize physical environmental details into intuitive decision-making reports, completing an intelligent closed loop from on-site perception to data delivery.\u003c\/p\u003e\n \u003c\/div\u003e\n \u003c\/div\u003e\n\n \u003ch2 class=\"head descItem\"\u003eBreakthrough Perception Limits with Embodied Intelligence\u003cbr\u003eCreative Applications of Multimodal AI Models\u003c\/h2\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-7-5.jpg?v=1789443478\" alt=\"Breakthrough Perception Limits with Embodied Intelligence Creative Applications of Multimodal AI Models\" class=\"mainImg\"\u003e\n \u003cdiv class=\"descItem\"\u003e \n \u003ch3 class=\"head\"\u003eVisual Object Tracking\u003c\/h3\u003e\n \u003cp class=\"desc\"\u003eEmpowered by the robust analytical capabilities of large vision models, target objects can be autonomously identified and locked onto within complex environments to execute real-time tracking tasks.\u003c\/p\u003e\n \u003c\/div\u003e\n\n \u003cdiv class=\"imageContainer\"\u003e\n \u003cdiv class=\"imageItem\"\u003e\n \u003cimg alt=\"Depth-Aware Q\u0026amp;A\" loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-7-6.jpg?v=1789435912\"\u003e\n \u003ch3 class=\"head\"\u003eDepth-Aware Q\u0026amp;A\u003c\/h3\u003e\n \u003cp class=\"desc\"\u003eJetHexa leverages spatial depth perception and environmental data to deliver intelligent Q\u0026amp;A interactions.\u003c\/p\u003e\n \u003c\/div\u003e\n \u003cdiv class=\"imageItem\"\u003e\n \u003cimg alt=\"Visual Scene Understanding\" loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-7-7.jpg?v=1789435911\"\u003e\n \u003ch3 class=\"head\"\u003eVisual Scene Understanding\u003c\/h3\u003e\n \u003cp class=\"desc\"\u003eJetHexa comprehensively analyzes its field of view, identifying environmental details and object characteristics to provide real-time voice feedback.\u003c\/p\u003e\n \u003c\/div\u003e\n \u003c\/div\u003e\n \u003cdiv class=\"imageContainer\"\u003e\n \u003cdiv class=\"imageItem\"\u003e\n \u003cimg alt=\"Multi-Step Command Processing\" loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-7-8.jpg?v=1789435911\"\u003e\n \u003ch3 class=\"head\"\u003eMulti-Step Command Processing\u003c\/h3\u003e\n \u003cp class=\"desc\"\u003eJetHexa accurately recognizes and parses complex, lengthy voice commands, autonomously breaking them down into multi-step tasks for seamless, sequential execution.\u003c\/p\u003e\n \u003c\/div\u003e\n \u003cdiv class=\"imageItem\"\u003e\n \u003cimg alt=\"Visual Autonomous Patrol\" loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-7-9.jpg?v=1789435911\"\u003e\n \u003ch3 class=\"head\"\u003eVisual Autonomous Patrol\u003c\/h3\u003e\n \u003cp class=\"desc\"\u003eJetHexa tracks multi-colored lines within its field of view in real time to flexibly execute autonomous patrol and line-following tasks.\u003c\/p\u003e\n \u003c\/div\u003e\n \u003c\/div\u003e\n\n\n \u003ch2 class=\"head descItem\"\u003eFull-Stack ROS Development Ecosystem\u003cbr\u003eKey ROS 2 Features\u003c\/h2\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-8-1.jpg?v=1789436042\" alt=\"LiDAR Capabilities \u0026amp; Applications\" class=\"mainImg pc\"\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-8-1_b08f3851-bdac-4180-af54-379d506f34ba.jpg?v=1789438935\" alt=\"LiDAR Capabilities \u0026amp; Applications\" class=\"mainImg mo\"\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-8-2.jpg?v=1789436042\" alt=\"3D Depth Camera Integration\" class=\"mainImg pc\"\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-8-2_93e01f82-d849-4a14-916b-73d646ac04f7.jpg?v=1789438935\" alt=\"3D Depth Camera Integration\" class=\"mainImg mo\"\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-8-3.jpg?v=1789436042\" alt=\"Al Vision Recognition \u0026amp; Target Tracking\" class=\"mainImg pc\"\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-8-3_51325e65-7291-4d39-89ff-d0719ddf937c.jpg?v=1789438935\" alt=\"Al Vision Recognition \u0026amp; Target Tracking\" class=\"mainImg mo\"\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-8-4.jpg?v=1789436041\" alt=\"MediaPipe Integration for Upgraded Al Interactions\" class=\"mainImg pc\"\u003e \n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-8-4_f6f52d90-1c0d-4dc9-9a5f-580c0c33dc94.jpg?v=1789438936\" alt=\"MediaPipe Integration for Upgraded Al Interactions\" class=\"mainImg mo\"\u003e \n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-8-5.jpg?v=1789436042\" alt=\"Deep Learning \u0026amp; Model Training\" class=\"mainImg pc\"\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-8-5_4d6dfc40-23cf-42cd-9f4c-ac447a860caf.jpg?v=1789438935\" alt=\"Deep Learning \u0026amp; Model Training\" class=\"mainImg mo\"\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-8-6.jpg?v=1789436041\" alt=\"AI Voice Interactions\" class=\"mainImg pc\"\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-8-6_6469c6d1-fd79-4611-b58c-827559f20e9c.jpg?v=1789438936\" alt=\"AI Voice Interactions\" class=\"mainImg mo\"\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-8-7.jpg?v=1789436041\" alt=\"Multi-Robot Swarm Control\" class=\"mainImg pc\"\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-8-7_3b64e8da-0e2d-4ada-8a9a-555817e34aed.jpg?v=1789438934\" alt=\"Multi-Robot Swarm Control\" class=\"mainImg mo\"\u003e\n\n\n \u003cdiv class=\"descItem\"\u003e \n \u003ch2 class=\"head\"\u003eInverse Kinematics \u0026amp; Gait Control\u003c\/h2\u003e\n \u003cp class=\"desc\"\u003ePowered by Hiwonder’s inverse kinematics gait control algorithm, JetHexa shatters the performance limitations of traditional pre-programmed action groups. It calculates 18DOF joint spatial trajectories in real time, achieving millimeter-level foot-end positioning for precise and highly efficient 360° omnidirectional movement.\u003c\/p\u003e\n \u003c\/div\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-9-1.jpg?v=1789436105\" alt=\"Seamless Gait Switching\" class=\"mainImg pc\"\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-9-1_2a2a189a-ef93-46f8-9d60-ebe4788ca049.jpg?v=1789438786\" alt=\"Seamless Gait Switching\" class=\"mainImg mo\"\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-9-2.jpg?v=1789436105\" alt=\"Constant-Speed Navigation for Precision Mapping\" class=\"mainImg pc\"\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-9-2_86cb85ae-d95d-491c-9f8c-f4ace8b459f1.jpg?v=1789438785\" alt=\"Constant-Speed Navigation for Precision Mapping\" class=\"mainImg mo\"\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-9-3.jpg?v=1789436105\" alt=\"Omnidirectional Movement \u0026amp; Motion Overlay\" class=\"mainImg pc\"\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-9-3_cd91879f-e5cc-4a36-810d-45a7f36c0714.jpg?v=1789438786\" alt=\"Omnidirectional Movement \u0026amp; Motion Overlay\" class=\"mainImg mo\"\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-9-4.jpg?v=1789436105\" alt=\"Dynamic Pitch \u0026amp; Roll Adjustment\" class=\"mainImg pc\"\u003e \n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-9-4_f509cc21-c344-4549-8ead-d61e00a6769b.jpg?v=1789438785\" alt=\"Dynamic Pitch \u0026amp; Roll Adjustment\" class=\"mainImg mo\"\u003e \n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-9-5.jpg?v=1789436105\" alt=\"Adjustable Height \u0026amp; Center of Gravity\" class=\"mainImg pc\"\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-9-5_b7e33577-6cf8-43ef-ae19-c5c10213d3bb.jpg?v=1789438785\" alt=\"Adjustable Height \u0026amp; Center of Gravity\" class=\"mainImg mo\"\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-9-6.jpg?v=1789436105\" alt=\"Motion Overlay \u0026amp; Combinations\" class=\"mainImg pc\"\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-9-6_41c5ac3e-0b7e-43ea-8863-6094c590cf87.jpg?v=1789438785\" alt=\"Motion Overlay \u0026amp; Combinations\" class=\"mainImg mo\"\u003e\n\n \u003cdiv class=\"descItem\"\u003e \n \u003ch2 class=\"head\"\u003eAll-Terrain Navigation\u003c\/h2\u003e\n \u003cp class=\"desc\"\u003eEmpowered by a 3D depth camera and TOF LiDAR, JetHexa maps environments in real-time, detecting obstacles, gaps, and height limits. It autonomously switches between climbing, crawling, and lowering its chassis to achieve true all-terrain mobility.\u003c\/p\u003e\n \u003c\/div\u003e\n\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-9-7.jpg?v=1789436106\" alt=\"All-Terrain Navigation\" class=\"mainImg\"\u003e\n\n\n \u003cdiv class=\"descItem\"\u003e \n \u003ch2 class=\"head\"\u003eVisual PC Software\u003c\/h2\u003e\n \u003cp class=\"desc\"\u003eJetHexa provides professional visual PC software, supporting precise joint control of direction, coordinates, and posture. With a built-in graphical action editor supporting visual tuning, it allows for the easy editing and optimization of robot actions, even with zero prior experience.\u003c\/p\u003e\n \u003c\/div\u003e\n\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-11-3.jpg?v=1789437231\" alt=\"All-Terrain Navigation\" class=\"mainImg\"\u003e\n\n \u003cdiv class=\"imageContainer\"\u003e\n \u003cdiv class=\"imageItem\"\u003e\n \u003cimg alt=\"Posture Control\" loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-11-4.jpg?v=1789437314\"\u003e\n \u003ch3 class=\"head\"\u003ePosture Control\u003c\/h3\u003e\n \u003cp class=\"desc\"\u003eAdjust chassis height, pitch, and roll in real-time. This synchronous position and orientation control allows for flexible manipulation of movement states and end-effector direction.\u003c\/p\u003e\n \u003c\/div\u003e\n \u003cdiv class=\"imageItem\"\u003e\n \u003cimg alt=\"Action Group Editing\" loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-11-5.jpg?v=1789437314\"\u003e\n \u003ch3 class=\"head\"\u003eAction Group Editing\u003c\/h3\u003e\n \u003cp class=\"desc\"\u003eEasily configure frame-by-frame action parameters using a drag-and-drop interface. Build smooth, complex robot motion sequences quickly—no complex coding required.\u003c\/p\u003e\n \u003c\/div\u003e\n \u003c\/div\u003e\n\n\n \u003cdiv class=\"descItem\"\u003e \n \u003ch2 class=\"head\"\u003eProfessional Visualized App\u003c\/h2\u003e\n \u003cp class=\"desc\"\u003ePowered by an intuitive and responsive visualization mobile app, Jethexa offers real-time FPV camera streaming, multi-axis posture adjustments, and flexible gait control. Seamlessly fine-tune movement speed, step stride, and body height in real time—delivering an immersive and precise robotic piloting experience without complex setup.\u003c\/p\u003e\n \u003c\/div\u003e\n\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-11-6.jpg?v=1789437485\" alt=\"All-Terrain Navigation\" class=\"mainImg\"\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-11-7.jpg?v=1789437484\" alt=\"All-Terrain Navigation\" class=\"mainImg pc\"\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-11-7_bda66d7f-926f-4a63-9dae-0d4566e36fbb.jpg?v=1789438668\" alt=\"All-Terrain Navigation\" class=\"mainImg mo\"\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-10.jpg?v=1789437484\" alt=\"All-Terrain Navigation\" class=\"mainImg pc\"\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-10_f084cf40-ba13-45c8-a17e-175219e1ae3c.jpg?v=1789438668\" alt=\"All-Terrain Navigation\" class=\"mainImg mo\"\u003e\n\n \u003cdiv class=\"imageContainer\"\u003e\n \u003cdiv class=\"imageItem\"\u003e\n \u003ch2 class=\"head\"\u003eMovelt2 Kinematics\u003c\/h2\u003e\n \u003cimg alt=\"URDF Kinematics Simulation Model\" loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-11-1.jpg?v=1789437635\"\u003e\n \u003ch3 class=\"head\"\u003eURDF Kinematics Simulation Model\u003c\/h3\u003e\n \u003cp class=\"desc\"\u003eA 1:1 realistic replica of the physical robot. The Movelt2 visual interface supports drag and-drop control preset positioning and robot obstacle avoidance.\u003c\/p\u003e\n \u003c\/div\u003e\n \u003cdiv class=\"imageItem\"\u003e\n \u003ch2 class=\"head\"\u003eGazebo Simulation\u003c\/h2\u003e\n \u003cimg alt=\"Data Visualization\" loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-11-2.jpg?v=1789437634\"\u003e\n \u003ch3 class=\"head\"\u003eData Visualization\u003c\/h3\u003e\n \u003cp class=\"desc\"\u003eVisualize the motion trajectories of the robot's end-effector and center of gravity to quickly improve and optimize algorithms.\u003c\/p\u003e\n \u003c\/div\u003e\n \u003c\/div\u003e\n\n\n \u003ch2 class=\"head descItem\"\u003eWhat Can You Learn?\u003c\/h2\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-12.jpg?v=1789445391\" alt=\"What Can You Learn\" class=\"mainImg pc\"\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-12_ffcba6ef-2ec1-48ba-9976-3e92d9c86d46.jpg?v=1789445548\" alt=\"What Can You Learn\" class=\"mainImg mo\"\u003e\n\n \u003ch2 class=\"head descItem\"\u003eRobot Configuration Recommendations\u003c\/h2\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-13-1.jpg?v=1789445428\" alt=\"Controller Performance Differences\" class=\"mainImg\"\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-13-2.jpg?v=1789532929\" alt=\"Function Operation Comparison\" class=\"mainImg\"\u003e\n\n\n \u003ch2 class=\"head descItem\"\u003eSpecifications\u003c\/h2\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-14-1.jpg?v=1789532896\" alt=\"Dual-Brain Architecture\" class=\"mainImg pc\"\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-14-1_c9674815-2271-46cb-88e4-03fb23aed9c7.jpg?v=1789538523\" alt=\"Dual-Brain Architecture\" class=\"mainImg mo\"\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-14-2.jpg?v=1789437972\" alt=\"High-Performance TOF LiDAR\" class=\"mainImg pc\"\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-14-2_df7ba383-aea9-42ef-9465-b627846ef84c.jpg?v=1789438504\" alt=\"High-Performance TOF LiDAR\" class=\"mainImg mo\"\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-14-3.jpg?v=1789437972\" alt=\"2DOF Pan-Tilt Camera \u0026amp; 3D Depth Camera\" class=\"mainImg pc\"\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-14-3_6a7bfb91-40ad-461e-a83b-36553f2361a2.jpg?v=1789438505\" alt=\"2DOF Pan-Tilt Camera \u0026amp; 3D Depth Camera\" class=\"mainImg mo\"\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-14-4.jpg?v=1789437972\" alt=\"WonderEcho Pro Al Voice Module\" class=\"mainImg pc\"\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-14-4_b1d44c7b-37a3-4dc5-9449-3177eecd0b91.jpg?v=1789438504\" alt=\"WonderEcho Pro Al Voice Module\" class=\"mainImg mo\"\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-14-5.jpg?v=1789437972\" alt=\"High-Resolution LCD Screen\" class=\"mainImg pc\"\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-14-5_20f9e649-2750-4bbd-bb5f-3f1b49b5b96c.jpg?v=1789438505\" alt=\"High-Resolution LCD Screen\" class=\"mainImg mo\"\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-14-6.jpg?v=1789437972\" alt=\"Intelligent Bus Servos with Full-Perception Feedback\" class=\"mainImg pc\"\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-14-6_6ea6ad6b-aeb6-4f64-9dc6-ae0b491851d0.jpg?v=1789438504\" alt=\"Intelligent Bus Servos with Full-Perception Feedback\" class=\"mainImg mo\"\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-14-7.jpg?v=1789437968\" alt=\"11.1V 350OmAh Lithium Battery\" class=\"mainImg pc\"\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-14-7_973313a1-673e-47f7-b1d8-f7b3b4a634d1.jpg?v=1789438503\" alt=\"11.1V 350OmAh Lithium Battery\" class=\"mainImg mo\"\u003e\n\n\n \u003ch2 class=\"head descItem\"\u003eSpecification Parameters\u003c\/h2\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-15.jpg?v=1789438096\" alt=\"Specification Parameters\" class=\"mainImg pc\"\u003e\n \u003cimg loading=\"lazy\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-15_a731875c-2c3e-4425-a426-fbc023ddbe1f.jpg?v=1789438355\" alt=\"Specification Parameters\" class=\"mainImg mo\"\u003e\n\n \u003cdiv class=\"imageContainer\"\u003e\n \u003cdiv class=\"pc imageItem\"\u003e\n \u003ctable style=\"text-align: center;table-layout: fixed;\" class=\"a-bordered noBottomBorder has-bgc\"\u003e\n \u003ctbody\u003e\n \u003ccolgroup\u003e\n \u003ccol style=\"width: 16%;\"\u003e\n \u003ccol style=\"width: 34%;\"\u003e\n \u003ccol style=\"width: 16%;\"\u003e\n \u003ccol style=\"width: 34%;\"\u003e\n \u003c\/colgroup\u003e\n \u003ctr\u003e\n \u003cth class=\"a-text-bold td-br-left\"\u003e\u003cspan\u003eProduct\u003c\/span\u003e\u003c\/th\u003e\n \u003ctd class=\"td-br-left\"\u003e\u003cspan\u003eJetHexa intelligent hexapod robot\u003c\/span\u003e\u003c\/td\u003e\n \u003ctd class=\"a-text-bold td-br-left\"\u003e\u003cspan\u003eDimensions\u003c\/span\u003e\u003c\/td\u003e\n \u003ctd class=\"td-br-left\"\u003e\u003cspan\u003e430 × 400 × 226 mm\u003c\/span\u003e\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003cth class=\"a-text-bold td-br-left\"\u003e\u003cspan\u003eProduct weight\u003c\/span\u003e\u003c\/th\u003e\n \u003ctd class=\"td-br-left\" colspan=\"3\"\u003e\u003cspan\u003eStarter Kit: 2.49 kg, Standard Kit: 2.57 kg, Advanced Kit: 2.67 kg, Ultimate Kit: 2.71 kg \u003c\/span\u003e\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003cth class=\"a-text-bold td-br-left\"\u003e\u003cspan\u003eFrame material\u003c\/span\u003e\u003c\/th\u003e\n \u003ctd class=\"td-br-left\"\u003e\u003cspan\u003eAll-metal aluminum alloy frame, anodized finish\u003c\/span\u003e\u003c\/td\u003e\n \u003ctd class=\"a-text-bold td-br-left\"\u003e\u003cspan\u003eDOF\u003c\/span\u003e\u003c\/td\u003e\n \u003ctd class=\"td-br-left\"\u003e\u003cspan\u003e18DOF\u003c\/span\u003e\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003cth class=\"a-text-bold td-br-left\"\u003e\u003cspan\u003eROS controller\u003c\/span\u003e\u003c\/th\u003e\n \u003ctd class=\"td-br-left\" colspan=\"3\"\u003e\u003cspan\u003eJetson Nano\/Jetson Orin Nano\/Jetson Orin NX\/Raspberry Pi 5 \u003c\/span\u003e\u003c\/td\u003e\n\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003cth class=\"a-text-bold td-br-left\"\u003e\u003cspan\u003eSub-controller\u003c\/span\u003e\u003c\/th\u003e\n \u003ctd class=\"td-br-left\"\u003e\u003cspan\u003eMulti-function expansion board\u003c\/span\u003e\u003c\/td\u003e\n \u003cth class=\"a-text-bold td-br-left\"\u003e\u003cspan\u003eExpansion board\u003c\/span\u003e\u003c\/th\u003e\n \u003ctd class=\"td-br-left\"\u003e\u003cspan\u003eJetson expansion board\u003c\/span\u003e\u003c\/td\u003e\n\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003cth class=\"a-text-bold td-br-left\"\u003e\u003cspan\u003eDepth camera\u003c\/span\u003e\u003c\/th\u003e\n \u003ctd class=\"td-br-left\"\u003e\u003cspan\u003eAurora930 Pro depth camera\u003c\/span\u003e\u003c\/td\u003e\n \u003cth class=\"a-text-bold td-br-left\"\u003e\u003cspan\u003eLiDAR\u003c\/span\u003e\u003c\/th\u003e\n \u003ctd class=\"td-br-left\"\u003e\u003cspan\u003eCOIN-D6 LiDAR, RPLIDAR C1\u003c\/span\u003e\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003cth class=\"a-text-bold td-br-left\"\u003e\u003cspan\u003eAudio\/Sound pickup\u003c\/span\u003e\u003c\/th\u003e\n \u003ctd class=\"td-br-left\"\u003e\u003cspan\u003eWonderEcho Pro AI voice interaction module \u003c\/span\u003e\u003c\/td\u003e\n \u003cth class=\"a-text-bold td-br-left\"\u003e\u003cspan\u003eBattery\u003c\/span\u003e\u003c\/th\u003e\n \u003ctd class=\"td-br-left\"\u003e\u003cspan\u003e11.1V 3500mAh 5C lithium battery\u003c\/span\u003e\u003c\/td\u003e\n\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003cth class=\"a-text-bold td-br-left\"\u003e\u003cspan\u003eBattery life\u003c\/span\u003e\u003c\/th\u003e\n \u003ctd class=\"td-br-left\"\u003e\n\u003cspan\u003e\u003c\/span\u003e60min\u003c\/td\u003e\n \u003cth class=\"a-text-bold td-br-left\"\u003e\u003cspan\u003eOperating system\u003c\/span\u003e\u003c\/th\u003e\n \u003ctd class=\"td-br-left\"\u003e\u003cspan\u003eUbuntu 22.04.5 LTS + ROS2 Humble\u003c\/span\u003e\u003c\/td\u003e\n\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003cth class=\"a-text-bold td-br-left\"\u003e\u003cspan\u003eCommunication method\u003c\/span\u003e\u003c\/th\u003e\n \u003ctd class=\"td-br-left\"\u003e\n\u003cspan\u003e\u003c\/span\u003eWiFi\/Ethernet \u003c\/td\u003e\n \u003cth class=\"a-text-bold td-br-left\"\u003e\u003cspan\u003eSoftware\u003c\/span\u003e\u003c\/th\u003e\n \u003ctd class=\"td-br-left\"\u003e\u003cspan\u003eiOS\/Android App + Windows PC software\u003c\/span\u003e\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003cth class=\"a-text-bold td-br-left\"\u003e\u003cspan\u003eStorage\u003c\/span\u003e\u003c\/th\u003e\n \u003ctd class=\"td-br-left\" colspan=\"3\"\u003e\u003cspan\u003e64GB TF card (Jetson Nano\/Raspberry Pi 5) \/ 128GB solid-state drive (Jetson Orin Nano\/Orin NX) \u003c\/span\u003e\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003cth class=\"a-text-bold td-br-left\"\u003e\u003cspan\u003eProgramming tools\u003c\/span\u003e\u003c\/th\u003e\n \u003ctd class=\"td-br-left\"\u003e\n\u003cspan\u003e\u003c\/span\u003ePython\/C\/C++ \u003c\/td\u003e\n \u003cth class=\"a-text-bold td-br-left\"\u003e\u003cspan\u003eServo model\u003c\/span\u003e\u003c\/th\u003e\n \u003ctd class=\"td-br-left\"\u003e\u003cspan\u003eHX-35H bus servo\u003c\/span\u003e\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003cth class=\"a-text-bold td-br-left\"\u003e\u003cspan\u003eTutorials\u003c\/span\u003e\u003c\/th\u003e\n \u003ctd class=\"td-br-left\" colspan=\"3\"\u003e\u003cspan\u003eUser manual, tutorials, ROS source code, system image, and software\u003c\/span\u003e\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003cth class=\"a-text-bold td-br-left\"\u003e\u003cspan\u003ePackage weight\u003c\/span\u003e\u003c\/th\u003e\n \u003ctd class=\"td-br-left\" colspan=\"3\"\u003e\u003cspan\u003eStarter Kit: 3.71 kg, Standard Kit: 3.79 kg, Advanced Kit: 3.89 kg, Ultimate Kit: 3.93 kg \u003c\/span\u003e\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd class=\"a-text-bold td-br-left\"\u003e\u003cspan\u003eControl method\u003c\/span\u003e\u003c\/td\u003e\n \u003ctd class=\"td-br-left\"\u003e\n\u003cspan\u003e\u003c\/span\u003eApp control, wireless controller control, PC control \u003c\/td\u003e\n \u003cth class=\"a-text-bold td-br-left\"\u003e\u003cspan\u003ePackage dimensions\u003c\/span\u003e\u003c\/th\u003e\n \u003ctd class=\"td-br-left\"\u003e\u003cspan\u003e387 × 356 × 210 mm\u003c\/span\u003e\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003c\/tbody\u003e\n \u003c\/table\u003e\n \u003c\/div\u003e\n \u003cdiv class=\"mo\" style=\"margin-bottom: 30px;\"\u003e\n \u003cdiv class=\"a-column a-span6\"\u003e\n \u003ctable class=\"a-bordered noBottomBorder has-bgc\" style=\"text-align: center;\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003cth class=\"a-text-bold\"\u003e\u003cspan\u003eProduct\u003c\/span\u003e\u003c\/th\u003e\n \u003ctd class=\"td-br-left\"\u003e\u003cspan\u003eJetHexa intelligent hexapod robot\u003c\/span\u003e\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003cth class=\"a-text-bold\"\u003e\u003cspan\u003eDimensions\u003c\/span\u003e\u003c\/th\u003e\n \u003ctd class=\"td-br-left\"\u003e\u003cspan\u003e430 × 400 × 226 mm\u003c\/span\u003e\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003cth class=\"a-text-bold\"\u003e\u003cspan\u003eProduct weight\u003c\/span\u003e\u003c\/th\u003e\n \u003ctd class=\"td-br-left\"\u003e\u003cspan\u003eStarter Kit: 2.49 kg, Standard Kit: 2.57 kg, Advanced Kit: 2.67 kg, Ultimate Kit: 2.71 kg\u003c\/span\u003e\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003cth class=\"a-text-bold\"\u003e\u003cspan\u003eFrame material\u003c\/span\u003e\u003c\/th\u003e\n \u003ctd class=\"td-br-left\"\u003e\u003cspan\u003eAll-metal aluminum alloy frame, anodized finish\u003c\/span\u003e\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003cth class=\"a-text-bold\"\u003e\u003cspan\u003eDOF\u003c\/span\u003e\u003c\/th\u003e\n \u003ctd class=\"td-br-left\"\u003e\u003cspan\u003e18DOF\u003c\/span\u003e\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003cth class=\"a-text-bold\"\u003e\u003cspan\u003eROS controller\u003c\/span\u003e\u003c\/th\u003e\n \u003ctd class=\"td-br-left\"\u003e\u003cspan\u003eJetson Nano \/ Jetson Orin Nano \/ Jetson Orin NX \/ Raspberry Pi 5\u003c\/span\u003e\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003cth class=\"a-text-bold\"\u003e\u003cspan\u003eSub-controller\u003c\/span\u003e\u003c\/th\u003e\n \u003ctd class=\"td-br-left\"\u003e\u003cspan\u003eMulti-function expansion board\u003c\/span\u003e\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003cth class=\"a-text-bold\"\u003e\u003cspan\u003eExpansion board\u003c\/span\u003e\u003c\/th\u003e\n \u003ctd class=\"td-br-left\"\u003e\u003cspan\u003eJetson expansion board\u003c\/span\u003e\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003cth class=\"a-text-bold\"\u003e\u003cspan\u003eDepth camera\u003c\/span\u003e\u003c\/th\u003e\n \u003ctd class=\"td-br-left\"\u003e\u003cspan\u003eAurora930 Pro depth camera\u003c\/span\u003e\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003cth class=\"a-text-bold\"\u003e\u003cspan\u003eLiDAR\u003c\/span\u003e\u003c\/th\u003e\n \u003ctd class=\"td-br-left\"\u003e\u003cspan\u003eCOIN-D6 LiDAR, RPLIDAR C1\u003c\/span\u003e\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003cth class=\"a-text-bold\"\u003e\u003cspan\u003eAudio\/Sound pickup\u003c\/span\u003e\u003c\/th\u003e\n \u003ctd class=\"td-br-left\"\u003e\u003cspan\u003eWonderEcho Pro AI voice interaction module\u003c\/span\u003e\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003cth class=\"a-text-bold\"\u003e\u003cspan\u003eBattery\u003c\/span\u003e\u003c\/th\u003e\n \u003ctd class=\"td-br-left\"\u003e\u003cspan\u003e11.1V 3500mAh 5C lithium battery\u003c\/span\u003e\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003cth class=\"a-text-bold\"\u003e\u003cspan\u003eBattery life\u003c\/span\u003e\u003c\/th\u003e\n \u003ctd class=\"td-br-left\"\u003e\u003cspan\u003e60 min\u003c\/span\u003e\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003cth class=\"a-text-bold\"\u003e\u003cspan\u003eOperating system\u003c\/span\u003e\u003c\/th\u003e\n \u003ctd class=\"td-br-left\"\u003e\u003cspan\u003eUbuntu 22.04.5 LTS + ROS2 Humble\u003c\/span\u003e\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003cth class=\"a-text-bold\"\u003e\u003cspan\u003eCommunication method\u003c\/span\u003e\u003c\/th\u003e\n \u003ctd class=\"td-br-left\"\u003e\u003cspan\u003eWiFi \/ Ethernet\u003c\/span\u003e\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003cth class=\"a-text-bold\"\u003e\u003cspan\u003eSoftware\u003c\/span\u003e\u003c\/th\u003e\n \u003ctd class=\"td-br-left\"\u003e\u003cspan\u003eiOS \/ Android App + Windows PC software\u003c\/span\u003e\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003cth class=\"a-text-bold\"\u003e\u003cspan\u003eStorage\u003c\/span\u003e\u003c\/th\u003e\n \u003ctd class=\"td-br-left\"\u003e\u003cspan\u003e64GB TF card (Jetson Nano \/ Raspberry Pi 5) \/ 128GB solid-state drive (Jetson Orin Nano \/ Orin NX)\u003c\/span\u003e\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003cth class=\"a-text-bold\"\u003e\u003cspan\u003eProgramming tools\u003c\/span\u003e\u003c\/th\u003e\n \u003ctd class=\"td-br-left\"\u003e\u003cspan\u003ePython \/ C \/ C++\u003c\/span\u003e\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003cth class=\"a-text-bold\"\u003e\u003cspan\u003eServo model\u003c\/span\u003e\u003c\/th\u003e\n \u003ctd class=\"td-br-left\"\u003e\u003cspan\u003eHX-35H bus servo\u003c\/span\u003e\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003cth class=\"a-text-bold\"\u003e\u003cspan\u003eTutorials\u003c\/span\u003e\u003c\/th\u003e\n \u003ctd class=\"td-br-left\"\u003e\u003cspan\u003eUser manual, tutorials, ROS source code, system image, and software\u003c\/span\u003e\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003cth class=\"a-text-bold\"\u003e\u003cspan\u003ePackage weight\u003c\/span\u003e\u003c\/th\u003e\n \u003ctd class=\"td-br-left\"\u003e\u003cspan\u003eStarter Kit: 3.71 kg, Standard Kit: 3.79 kg, Advanced Kit: 3.89 kg, Ultimate Kit: 3.93 kg\u003c\/span\u003e\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003cth class=\"a-text-bold\"\u003e\u003cspan\u003eControl method\u003c\/span\u003e\u003c\/th\u003e\n \u003ctd class=\"td-br-left\"\u003e\u003cspan\u003eApp control, wireless controller control, PC control\u003c\/span\u003e\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003cth class=\"a-text-bold\"\u003e\u003cspan\u003ePackage dimensions\u003c\/span\u003e\u003c\/th\u003e\n \u003ctd class=\"td-br-left\"\u003e\u003cspan\u003e387 × 356 × 210 mm\u003c\/span\u003e\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003c\/tbody\u003e\n \u003c\/table\u003e\n \u003c\/div\u003e\n \u003c\/div\u003e\n \u003c\/div\u003e\n\n \u003ch2 class=\"head descItem\"\u003ePacking List\u003c\/h2\u003e\n\n\n \u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-16-1.jpg?v=1789532961\" alt=\"Starter Kit Packing List\" class=\"mainImg pc\"\u003e\n \u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-16-1_06d7d9be-0b0f-410d-bce6-5b7b39c9401c.jpg?v=1789538410\" alt=\"Starter Kit Packing List\" class=\"mainImg mo\"\u003e\n\n \u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-16-2.jpg?v=1789532987\" alt=\"Standard Kit Packing List\" class=\"mainImg pc\"\u003e\n \u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-16-2_9432da34-37a0-49ba-a8b1-45cc507e9469.jpg?v=1789538432\" alt=\"Standard Kit Packing List\" class=\"mainImg mo\"\u003e\n\n \u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-16-3.jpg?v=1789533004\" alt=\"Advanced Kit Packing List\" class=\"mainImg pc\"\u003e\n \u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-16-3_e545e7ac-a0aa-4cff-a46c-0dac9d9bad6d.jpg?v=1789538453\" alt=\"Advanced Kit Packing List\" class=\"mainImg mo\"\u003e\n\n \u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-16-4.jpg?v=1789533022\" alt=\"Ultimate Kit Packing List\" class=\"mainImg pc\"\u003e\n \u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetHexa-16-4_30c76217-b736-483a-bf03-ac13a0d6157e.jpg?v=1789538481\" alt=\"Ultimate Kit Packing List\" class=\"mainImg mo\"\u003e\n\n \u003ch5\u003e\u003cstrong\u003e\u003cb\u003eSpecifications\u003c\/b\u003e\u003c\/strong\u003e\u003c\/h5\u003e\n \u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n \u003ctable\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd\u003e\u003cstrong\u003eItem\u003c\/strong\u003e\u003c\/td\u003e\n \u003ctd\u003e\u003cstrong\u003eSpecification\u003c\/strong\u003e\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eProduct\u003c\/td\u003e\n \u003ctd\u003eJetHexa intelligent hexapod robot\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eDimensions\u003c\/td\u003e\n \u003ctd\u003e430 × 400 × 226 mm\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eProduct weight\u003c\/td\u003e\n \u003ctd\u003eStarter Kit: 2.49 kg, Standard Kit: 2.57 kg, Advanced Kit: 2.67 kg, Ultimate Kit: 2.71 kg\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eFrame material\u003c\/td\u003e\n \u003ctd\u003eAll-metal aluminum alloy frame, anodized finish\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eDOF\u003c\/td\u003e\n \u003ctd\u003e18DOF\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eROS controller\u003c\/td\u003e\n \u003ctd\u003eJetson Nano \/ Jetson Orin Nano \/ Jetson Orin NX \/ Raspberry Pi 5\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eSub-controller\u003c\/td\u003e\n \u003ctd\u003eMulti-function expansion board\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eExpansion board\u003c\/td\u003e\n \u003ctd\u003eJetson expansion board\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eDepth camera\u003c\/td\u003e\n \u003ctd\u003eAurora930 Pro depth camera\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eLiDAR\u003c\/td\u003e\n \u003ctd\u003eCOIN-D6 LiDAR, RPLIDAR C1\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eAudio\/Sound pickup\u003c\/td\u003e\n \u003ctd\u003eWonderEcho Pro AI voice interaction module\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eBattery\u003c\/td\u003e\n \u003ctd\u003e11.1V 3500mAh 5C lithium battery\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eBattery life\u003c\/td\u003e\n \u003ctd\u003e60 min\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eOperating system\u003c\/td\u003e\n \u003ctd\u003eUbuntu 22.04.5 LTS + ROS2 Humble\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eCommunication method\u003c\/td\u003e\n \u003ctd\u003eWiFi \/ Ethernet\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eSoftware\u003c\/td\u003e\n \u003ctd\u003eiOS \/ Android App + Windows PC software\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eStorage\u003c\/td\u003e\n \u003ctd\u003e64GB TF card (Jetson Nano \/ Raspberry Pi 5) \/ 128GB solid-state drive (Jetson Orin Nano \/ Orin NX)\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eProgramming tools\u003c\/td\u003e\n \u003ctd\u003ePython \/ C \/ C++\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eServo model\u003c\/td\u003e\n \u003ctd\u003eHX-35H bus servo\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eTutorials\u003c\/td\u003e\n \u003ctd\u003eUser manual, tutorials, ROS source code, system image, and 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