Hiwonder

【Raspberry Pi 5 & ROS2 Robot Car】 LanderPi is powered by Raspberry Pi 5, compatible with ROS2, and programmed in Python, making it an ideal platform for AI robot development.

【Multiple Chassis Configurations】 LanderPi robot supports Mecanum-wheel, Ackermann chassis, and tank chassis, allowing flexibility for various applications and meeting diverse user needs.

【High-Performance Hardware】Equipped with DC gear encoder motors, TOF lidar, 3D depth camera, 6DOF Robotic Arm, and other advanced components to ensure optimal performance and efficiency.

【AI Advanced AI Capabilities】 LanderPi Raspberry Pi car supports SLAM mapping, path planning, multi-robot coordination, vision recognition, target tracking, and more, covering a wide range of AI applications.

【Autonomous Driving with Deep Learning】Utilizes the YOLOv8 model training to enable road sign and traffic light recognition, along with other autonomous driving features, helping users explore and develop autonomous driving technologies.

【Empowered by Large AI Model, Human-Robot Interaction Redefined】LanderPi deploys multimodal models with ChatGPT at its core, integrating 3D vision robotic arm and AI voice interaction box. This synergy enhances its perception, reasoning, and actuation capabilities, enabling advanced embodied AI applications and delivering natural, context-aware human-robot interaction.

【ESP32 Controller & Arduino Programming】 LeArm AI is an AI open source robot arm powered by ESP32 and fully compatible with Arduino programming. It features built-in Bluetooth and multiple expansion ports, which makes it ideal for function upgrades and secondary development.

【Inverse Kinematics & Smart Bus Servos】 Equipped with 6 smart bus servos and advanced inverse kinematics algorithm, Hiwonder LeArm AI delivers precise path planning and smooth, efficient movements—perfect for tackling complex tasks.

【Versatile Sensor Expansion】 LeArm supports a wide range of sensors, including AI vision, voice module, ultrasonic, and acceleration sensors. It enables creative applications like color recognition, target tracking, face detection, voice control, and distance measurement.

【Multiple Control Options】 Control LeArm AI with an app, PC software, or wireless controller. It's incredibly easy to get started, requiring no prior experience.

【Open Source Code & Comprehensive Learning Resources】 Comes with 200+ tutorials, sample experiments, open source code, circuit schematics, and well-commented programs—helping users dive into AI and programming while sparking endless creativity.

【Compatibility with the LeRobot Ecosystem & End-to-End Algorithms】Hiwonder SO-ARM101 robotic arm is fully integrated with the LeRobot framework to access community models, datasets, and simulations. Developers can easily train and deploy end-to-end imitation and reinforcement learning algorithms like ACT.

【Leader-Follower Teleoperation & VLA Development】Supports synchronous teleoperation via leader and follower arms. By capturing HD video alongside trajectory data, Hiwonder SO-ARM101 robotic arm quickly builds "vision-action" datasets, making it an ideal platformfor VLA (Vision-Language-Action) model training.

【Dual-Camera Vision System】Equipped with both a gripper-mounted camera and an external camera, the robot arm system supports both precise manipulation and environmental awareness for accurate imitation learning.

【High-Performance Servos】Featuring six 30KG high-torque servos with magnetic feedback, the arm delivers smooth, stable motion, eliminating issues like power deficiency and jitter.

【Professional Visual PC Software】Integrated with servo scanning, status monitoring, and trajectory control, the BusLinker V3.0 debugging board simplifies device control and debugging.

【Advanced ESP32 microcontrol】 MaxArm is powered by a high-performance ESP32 microcontroller, making it a versatile open source robot arm for learning robot arm programming with both Arduino and Python.

【Linkage Mechanism, Perfect for STEAM Education】 This desktop robot arm features a robust linkage mechanism and integrates with a sliding rail, simulating real-world industrial automation right on your desk.

【AI Vision Module Ready with Hiwonder Ecosystem】 Unlock advanced capabilities as an AI robotic arm. MaxArm is fully compatible with Hiwonder sensors like the WonderCam AI vision module, enabling exciting projects in mask recognition, object sorting, and etc.

【All-in-One STEAM Education Powerhouse】 As the ultimate STEAM education platform, Hiwonder MaxArm offers a complete toolkit to bridge theory and practice in coding, robotics, and AI for all learning levels.

【Multi-Control Flexibility】 Command your programming robotic arm with unparalleled flexibility. Choose from a dedicated mobile app, PC software, a wireless gamepad, or even mouse control for precise operation.

【Driven by Coreless Servos】 Hiwonder MechDog is equipped with 8 high-speed coreless servos, providing exceptional torque, rapid response, robust force, and high accuracy. Its leg linkage structure enables swift, precise, agile and stable walking in any environment.

【Inverse Kinematics for Flexible Movement】 MechDog features built-in inverse kinematics that support real-time adjustments of walking direction, gait and posture, resulting in more flexible and lifelike movements.

【Cross-Platform Control with Multiple Programming Options】 Hiwonder MechDog supports control via PC software and a mobile app. It can be programmed using Python, Scratch, or Arduino, offering a variety of programming options.

【Extensive Expansion for Creativity】 MechDog can be enhanced with various sensors and electronic modules. It is also compatible with LEGO components, allowing for a broad range of creative applications.

【Raspberry Pi 5 & ROS2 Robot Car】 MentorPi A1 robot is powered by Raspberry Pi 5, compatible with ROS2, and programmed in Python, making it an ideal platform for AI robot development.

【Advanced AI Capabilities】 Supports SLAM mapping, path planning, multi-robot coordination, vision recognition, target tracking, and more, covering a wide range of AI applications.

【Autonomous Driving with Deep Learning】 Utilizes YOLOv11 model training to enable road sign and traffic light recognition, along with other autonomous driving features, helping users explore and develop autonomous driving technologies.

【High-Performance Hardware】 Equipped with closed-loop encoder motors, TOF lidar, 2DOF monocular camera, high-torque servos, and other advanced components to ensure optimal performance and efficiency.

【Raspberry Pi 5 & ROS2 Robot Car】 Powered by a Raspberry Pi 5 and ROS2, the MentorPi A1 robot is an ideal platform for AI robot development, programmed in Python.

【Built with Advanced Components】 Equipped with closed-loop encoder motors, a TOF lidar, a 3D depth camera, and high-torque servos for optimal performance.

【Advanced AI Capabilities】 Supports SLAM mapping, path planning, vision recognition, target tracking, and more for a wide range of AI applications.

【Autonomous Driving with Deep Learning】 Utilizes YOLOv11 model training to enable road sign and traffic light recognition, helping users develop autonomous driving technologies.

【Human-Robot Interaction】 Empowered by a large AI model with ChatGPT at its core, MentorPi robot A1 uses 3D vision and AI voice to enhance its capabilities, enabling natural, context-aware human-robot interaction.

【Raspberry Pi 5 & ROS2】Powered by RPi 5 and compatible with ROS2, MentorPi car is an ideal platform for developing AI robots. The system is fully programmable in Python, making it accessible for a wide range of projects.

【Choose Your Chassis】 Whether you need the precision of an Ackermann chassis or the maneuverability of Mecanum wheels, MentorPi raspi car has you covered. Its flexible design lets you switch between configurations to fit your unique needs.

【Top-Tier Hardware Inside】 Packed with high-performance components like closed-loop encoder motors, a TOF lidar, a 3D depth camera, and high-torque servos, MentorPi RPi robot delivers speed and accuracy.

【Advanced AI】 From SLAM mapping and path planning to multi-robot coordination and vision recognition, MentorPi robot supports a wide range of AI applications.

【Autonomous Driving】 Utilize YOLOv11 model training to enable advanced autonomous driving features, including road sign and traffic light recognition. This provides an excellent platform for learning and developing autonomous driving.

【Advanced Interaction】 Hiwonder MentorPi deploys multimodal models with ChatGPT at its core. By integrating a 3D vision system and an AI voice interaction box, the robot gains enhanced perception, reasoning, and actuation. This enables advanced embodied AI applications and delivers natural interaction.

【Raspberry Pi 5 & ROS2 Robot Car】 MentorPi T1 is powered by Raspberry Pi 5, compatible with ROS2, and programmed in Python, making it an ideal platform for AI robot development.

【High-Performance Hardware】 Equipped with closed-loop encoder motors, TOF lidar, 3D depth camera, high-torque servos, and other advanced components to ensure optimal performance and efficiency.

【Advanced AI Capabilities】 Supports SLAM mapping, path planning, multi-robot coordination, vision recognition, target tracking, and more, covering a wide range of AI applications.

【Autonomous Driving with Deep Learning】 Utilizes YOLOv11 model training to enable road sign and traffic light recognition, along with other autonomous driving features, helping users explore and develop autonomous driving technologies.

【Empowered by Large AI Model, Human-Robot Interaction Redefined】 MentorPi deploys multimodal models with ChatGPT at its core, integrating 3D vision and AI voice interaction box. This synergy enhances its perception, reasoning, and actuation capabilities, enabling advanced embodied AI applications and delivering natural, context-aware human-robot interaction.

【Ultra-Compact & Lightweight】The board's small-volume design significantly reduces space occupancy, tailored specifically for compact platforms like drones and mini-robots with stringent size and weight constraints.

【NVIDIA Module Compatibility】Fully compatible with official NVIDIA Jetson Orin Nano and Orin NX modules. Interchangeable core configurations allow you to scale edge AI computing power as needed.

【Versatile Connectivity】Features standard CSI camera ports, high-speed USB 3.0, an M.2 Wi-Fi slot, and a standard 40-pin GPIO array, offering plug-and-play integration for vision systems, LiDAR, and diverse peripherals.

【Clean & Stable Power】Optimized boot logic enables true headless operation without needing an HDMI dummy plug, ensuring pristine and stable power delivery even under heavy processing loads.

【Blazing-Fast Storage】Pre-flashed for instant startup, the 128GB SSD supercharges system response, leaving plenty of room to run complex AI models and store massive development logs.

【Compatible with Arduino】 Features an Arduino UNO R3 controller and an expansion board, ensuring full compatibility with the Arduino programming. Hiwonder miniAuto car also provides ample expansion ports for secondary development.

【Vision Recognition & Tracking】 Equipped with an ESP32-S3 vision module, miniAuto supports WiFi video transmission and enables applications such as vision line following, AI face recognition, and color tracking.

【360° Omnidirectional Movement】 With Mecanum wheels, miniAuto can move in any direction, supporting various motion modes to navigate complex surfaces effortlessly.

【Autonomous Driving】 With a 4-channel line follower and the vision module, miniAuto can perform line following, crossroad recognition, traffic light detection, and more autonomous driving capabilities.

【Robot Gripper Expansion】 This robotic gripper expansion enables object transportation, line following, visual transport, and numerous other creative projects, taking your creativity to the next level.

【ESP32 Controller & Arduino Programming】 Hiwonder miniHexa is an open-source AI hexapod robot powered by ESP32 and fully compatible with Arduino programming. It features precise motion control and multiple expansion ports, making it ideal for function upgrades and secondary development.

【18DOF Structure, High-Speed Micro Servos】 miniHexa is equipped with 18 anti-stall micro servos—compact in size, fast in response, low-noise, and highly precise—delivering powerful, accurate control for executing complex movements with ease.

【Inverse Kinematics & Flexible Movement】 Utilizing cutting-edge inverse kinematics algorithms, miniHexa supports 360° omnidirectional motion. It effortlessly switches between postures, angles, and balance, enabling smooth and seamless action combinations.

【Versatile Sensor Expansion】 miniHexa supports a wide range of sensors, including Al vision, voice module, ultrasonic, touch sensor, matrix display, and more. It enables creative applications like color recognition, target tracking, face detection, voice control, and distance measurement.

【Comprehensive Learning Resources & Open Source】 Comes with more than 200 tutorials, open-source code, circuit schematics, and well-commented programs, helping users dive into AI and programming while sparking endless creativity.

【Dual-Core ESP32-P4C5 Processor】Powered by an ESP32-P4 and ESP32-C5 dual-core module, miniHexa Pro delivers robust edge AI computing. It seamlessly runs advanced offline visual algorithms, including facial, gesture, skeleton, and pet recognition, alongside pedestrian detection and line tracking.

【AI Interaction & ESP32-Claw Agent】Equipped with the WonderLLM module, it integrates XiaoZhi AI and the ESP32-Claw agent to fully close the perception-decision-execution loop. This enables natural voice conversations, intent recognition, multi-step command comprehension, and dynamic human-robot collaboration.

【18DOF Chassis & 2DOF Robotic Arm】Featuring a durable, all-metal 18DOF hexapod chassis paired with a 2DOF robotic arm. This bionic design synchronizes mobility and precision manipulation, allowing the two systems to coordinate flawlessly for complex grasping and object transport.

【Advanced Inverse Kinematics Control】Driven by advanced inverse kinematics algorithms, the robot delivers exceptional maneuverability and precise posture control. It effortlessly supports smooth omnidirectional movement, agile obstacle climbing, and dynamic dancing routines.

【Open-Source Multi-Language Ecosystem】Designed for AI education, the kit supports Arduino, Scratch, and MicroPython. Extensive open-source code and detailed tutorials are provided to lower the learning curve and empower secondary development.

【Embodied Al Robotic Arm】NexArm robot arm features an industrial-grade metal body with high-precision magnetic encoder servos and inverse kinematics. It delivers a 500mm reach,500g payload, and +2mm repeatability. Curve smoothing algorithms eliminate jitter for precise grasps and smooth trajectories.

【Compatibility with the LeRobot Ecosystem & End-to-End Algorithms】NexArm robotic arm is fully integrated with the LeRobot framework to access community models, datasets, and simulations. Developers can easily train and deploy end-to-end imitation and reinforcement learning algorithms like ACT.

【Leader-Follower Teleoperation & VLA Development】Supports synchronous teleoperation via leader and follower arms. By capturing HD video alongside trajectory data, NexArm robotic arm quickly builds "vision-action" datasets, making it an ideal platform for VLA (Vision-Language-Action) model training.

【Dual-Camera Vision System】Equipped with both a gripper-mounted camera and an external camera, the robot arm system supports both precise manipulation and environmental awareness for accurate imitation learning.

【Open-Source and Multi-Mode Control】Open-source code and schematics, plus PC software, app control, secondary development examples, and structured tutorials, significantly lower the barrier to embodied AI development.