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Robotics

Showing 1 - 16 of 60 items
  • 【micro:bit Programming, AI Vision Robot】Nexbit is AI smart robot car powered by micro:bit. Nexbit features a high-performance WonderCam AI vision module with an integrated HD camera. This module enables various AI applications, including color recognition, vision line following, target tracking, and more.
  • 【Powerful hardware】Nexbit boasts an impressive array of features within its compact body, including a high-precision 4-channel knob line follower, an AI vision module, a glowy ultrasonic sensor, an infrared receiver, RGB lights, and other electronic components.
  • 【One-click Training and Learning】Nexbit's AI vision module is integrated with some learning algorithms, allowing it to complete diverse AI vision projects such as waste sorting and tag tracking.
  • 【Various Control Methods&Makecode Programming】Nexbit supports Android/ iOS APP control, Handlebit Remote Control.Nexbit also supports Makecode programming.Drag and drop building block-style modules for programming,which is easy to learn.
  • 【Arduino Programming, Open Source】miniArm is built on the Atmega328 platform and is compatible with Arduino programming. The programs for miniArm are open-source, and learning tutorials and secondary development examples are available, making it easier for you to develop your robotic hand.
  • 【High Performance Hardware, Support Sensor Expansion】 miniArm is equipped with a 6-channel knob controller, Bluetooth module, high-precision digital servos, and other high-performance hardware. Moreover, it provides multiple expansion ports for sensor integration, including ESP32 Cam, accelerometer, touch sensor, glowy ultrasonic sensor, etc., empowering users to engage in secondary development for sonic ranging and pose control capabilities.
  • 【Versatile Control Options】miniArm supports app control, and users can utilize knob potentiometers for real-time knob control and offline action editing.
  • 【Arduino Programming, Open Source】uHand UNO is built on the Atmega328 platform and is compatible with Arduino programming. The programs for uHand UNO are open-source, and learning tutorials and secondary development examples are available, making it easier for you to develop your robotic hand.
  • 【High Performance, Support Sensor Expansion】 uHand UNO is equipped with a 6-channel knob controller, Bluetooth module, 6 anti-blocking servos, and other high-performance hardware. Moreover, it provides multiple expansion ports for sensor integration, including ESP32 Cam, accelerometer, touch sensor, glowy ultrasonic sensor, etc., empowering users to engage in secondary development for sonic ranging and pose control capabilities.
  • 【Versatile Control Options】uHand UNO supports both app control and wireless glove control. Users can utilize knob potentiometers for real-time knob control and offline action editing.
  • 【Driven by AI, powered by Jetson Nano】JetArm is a desktop-level AI vision robot arm developed for ROS education scenarios. It supports Python programming, uses deep learning frameworks, and is developed in conjunction with MediaPipe to implement AI creative projects such as object image recognition, somatosensory control, and voice interaction.
  • 【High-performance Vision Robot Arm】JetArm includes a 6DOF vision robot arm, featuring intelligent serial bus servos with a torque of 35KG. An HD camera is positioned at the end of robot arm, which provides a first-person perspective for object gripping tasks.
  • 【Depth Point Cloud, 3D Scene Flexible Grabbing】JetArm is equipped with a high-performance 3D depth camera. Based on the RGB data, position coordinates and depth information of the target, combined with RGB+D fusion detection, it can realize free grabbing in 3D scene and other AI projects.
  • 【Far-field Voice Interaction】JetArm ultimate kit incorporates a circular microphone array and speaker allowing for man-robot interaction applications, including Text to Speech conversion, 360° sound source localization, voice-controlled mapping navigation, etc. Integrated with vision robot arm, JetArm can implement voice-controlled gripping and transporting.
  • 【Robot Control Across Platforms】JetArm provides multiple control methods, like WonderAi app (compatible with iOS and Android system), wireless handle, Robot Operating System (ROS) and keyboard, allowing you to control the robot at will.
  • 【Support ROS1 and ROS2 configuration】JetRover is compatible with ROS1 and ROS2. The main control solution has been upgraded to support three main control solutions: Raspberry Pi 5, Jetson Nano, and Jetson Orin Nano. Users can choose the adaptation solution according to their own needs.
  • 【Smart ROS Robots Driven by AI】 JetRover is a professional robotic platform for ROS learning and development, powered by NVIDIA Jetson Nano B01 and supports Robot Operating System (ROS). It leverages mainstream deep learning frameworks, incorporates MediaPipe development, enables YOLO model training.
  • 【SLAM Development and Diverse Configuration】JetRover is equipped with a powerful combination of a 3D depth camera and Lidar. It utilizes a wide range of advanced algorithms including gmapping, hector, karto and cartographer, enabling precise multi-point navigation, TEB path planning, and dynamic obstacle avoidance.
  • 【High-performance Vision Robot Arm】JetRover includes a 6DOF vision robot arm, featuring intelligent serial bus servos with a torque of 35KG. A HD camera is positioned at the end of robot arm, which provides a first-person perspective for object grabbing tasks.
  • 【Far-field Voice Interaction】JetRover ultimate kit incorporates a circular microphone array and speaker allowing for man-robot interaction applications, including Text to Speech conversion, 360° sound source localization, voice-controlled mapping navigation, etc. Integrated with vision robot arm, JetRover can implement voice-controlled grabbing and transporting.
  • 【Robot Control Across Platforms】JetRover provides multiple control methods, like WonderAi app (compatible with iOS and Android system), wireless handle, Robot Operating System (ROS) and keyboard, allowing you to control the robot at will.
  • 【High-performance Hardware Configurations】AiNex is developed upon Robot Operating System(ROS) and featuring a Raspberry Pi 4B, 24 intelligent serial bus servos, an HD camera, movable mechanical hands. It is a professional AI humanoid robot capable of lively mimicking human actions.
  • 【Advanced Inverse Kinematics Gait】AiNex integrates inverse kinematics algorithm for flexible pose control as well as gait planning for omnidirectional movement.
  • 【Outstanding AI Vision Recognition and Tracking】Leveraging technologies, like machine vision and OpenCV, AiNex excels in precise object recognition, enabling it to accomplish target.
  • 【Robot Control Across Platforms】AiNex provides multiple control methods, like WonderROS app (compatible with iOS and Android system), wireless handle, and PC software.
  • 【Detailed Tutorials and Professional After-sales Service】We offer an extensive collection of tutorials covering up to 18 topics.
  • 【Classic Ackermann Steering Structure】JetAcker is built upon an Ackermann chassis providing an opportunity to learn and validate robots based on the Ackermann steering structure.
  • 【Dive in AI Algorithm】JetAcker runs on NVIDIA Jetson Nano B01, supports ROS, utilizes deep learning frameworks, MediaPipe, YOLO training, and TensorRT acceleration for diverse 3D machine vision applications.
  • 【SLAM Development and Diverse Configuration】JetAcker is equipped with a 3D depth camera and Lidar, enabling remote communication, precise 2D mapping navigation, TEB path planning, and dynamic obstacle avoidance.
  • 【High-performance Hardware Configurations】JetAcker features an aluminum alloy bracket, CNC steering, and a range of hardware: 100mm rubber wheels, 520 Hall encoder motors, Lidar, ORBBEC Astra Pro Plus camera, 240° pan-tilt, multi-functional expansion board, motor driver, and 11.1V 6000mAh Lipo battery.
  • 【Robot Control Across Platforms】JetAcker provides multiple control methods, like WonderAi app (compatible with iOS and Android system), wireless handle, Robot Operating System (ROS) and keyboard.
  • 【RPi AI Vision Robot】Support Python programming. Come with a Mecanum-wheel chassis, pan-tilt servos, HD camera and 4-ch line follower.
  • 【Recognition and Tracking】Utilize an HD camera with the OpenCV library for FPV perspective and image processing.
  • 【Line Following, Auto-driving】Use a 4-channel line follower or camera for path tracking and auto-driving.
  • 【360° Omnidirectional Movement】Advanced omnidirectional Mecanum wheels enable flexible 360° motion.
  • 【App Remote Control】 TurboPi offers ultimate control over its motion, gripping, and transportation with a dedicated app.
  • 【Smart ROS Robots Driven by AI】 JetTank is powered by NVIDIA Jetson Nano B01 and supports ROS. It leverages mainstream deep learning frameworks, incorporates MediaPipe development, enables YOLO model training. This combination delivers 3D machine vision applications, including autonomous driving, somatosensory interaction and KCF target tracking.
  • 【SLAM Development and Diverse Configuration】JetTank is equipped with a 3D depth camera and Lidar. It utilizes a wide range of advanced algorithms including gmapping, hector, karto and cartographer, enabling precise multi-point navigation, TEB path planning, and dynamic obstacle avoidance.
  • 【High-performance Hardware Configurations】JetTank is made of aluminum alloy and employs various hardware components, including reinforced nylon continuous track, 520 Hall encoder gear motors, metal drive wheel, Lidar, Astra Pro Plus depth camera, 6-microphone array, speaker, etc.
  • 【Far-field Voice Interaction】JetTank advanced kit incorporates a 6-microphone array and speaker allowing for man-robot interaction applications, including Text to Speech conversion, voice wake-up, 360° sound source localization, voice-controlled mapping navigation, etc.
  • 【Robot Control Across Platforms】JetTank provides multiple control methods, like WonderAi app (iOS&Android), wireless handle, Robot Operating System (ROS) and keyboard, allowing you to control the robot at will.
  • Powered by Jetson Nano(included)
  • Open source and based on ROS
  • Deep learning, model training, inverse kinematics
  • Abundant sensors for function expansion
  • Changeable robot models with mecanum wheel chassis or sliding rail
  • 【Smart ROS Robots Driven by AI】 JetAuto Pro is a professional robotic platform for ROS learning and development, powered by NVIDIA Jetson Nano B01 and supports Robot Operating System (ROS). It leverages mainstream deep learning frameworks, incorporates MediaPipe development, enables YOLO model training.
  • 【SLAM Development and Diverse Configuration】JetAuto Pro is equipped with a powerful combination of a 3D depth camera and Lidar. It utilizes a wide range of advanced algorithms including gmapping, hector, karto and cartographer, enabling precise multi-point navigation, TEB path planning, and dynamic obstacle avoidance.
  • 【High-performance Vision Robot Arm】JetAuto Pro includes a 5DOF vision robot arm, featuring intelligent serial bus servos with a torque of 35KG. An HD camera is positioned at the end of robot arm, which provides a first-person perspective for object gripping tasks.
  • 【Far-field Voice Interaction】JetAuto Pro advanced kit incorporates a 6-microphone array and speaker allowing for man-robot interaction applications, including Text to Speech conversion, 360° sound source localization, voice-controlled mapping navigation, etc. Integrated with vision robot arm, JetAuto Pro can implement voice-controlled gripping and transporting.
  • 【Robot Control Across Platforms】JetAuto Pro provides multiple control methods, like WonderAi app (compatible with iOS and Android system), wireless handle, Robot Operating System (ROS) and keyboard, allowing you to control the robot at will.
  • Powered by ESP32 microcontroller
  • Linkage mechanism for better inverse kinematics learning
  • Compatible with Hiwonder sensors for implementing different tasks
  • Worked with the sliding rail to simulate industrial scenario
  • Support Auduino and Python
  • Support APP, PC software, wireless handle and mouse controls
  • 【AI Vision Robot Powered by Raspberry Pi】ArmPi mini is a smart vision robot arm powered by Raspberry Pi. It adopts high-performance intelligent servos and HD camera, and can be programmed in Python. With its impressive capabilities, ArmPi mini unlocks diverse AI applications, such as smart vision-guided recognition and grasping.
  • 【AI Vision Recognition and Tracking】ArmPi mini combines a HD camera and OpenCV library to recognize and locate target objects, enabling the implementation of AI applications like color sorting, target tracking and intelligent stacking.
  • 【Inverse Kinematics Algorithm】ArmPi mini employs an inverse kinematics algorithm, enabling precise target tracking and gripping. It also provides complete source code for the inverse kinematics function assisting you in learning AI.
  • 【App Remote Control】 ArmPi mini offers ultimate remote control with a dedicated app (iOS/ Android) and PC software. In addition, you can access first-person-view perspective on the app giving you an immersed using experience.
  • 【Smart ROS Robots Driven by AI】JetAuto is powered by NVIDIA Jetson Nano B01 and supports Robot Operating System (ROS). It leverages mainstream deep learning frameworks, incorporates MediaPipe development, enables YOLO model training, and utilizes TensorRT acceleration. This combination delivers a diverse range of 3D machine vision applications, including autonomous driving, human feature recognition, and KCF target tracking.
  • 【SLAM Development and Diverse Configuration】JetAuto is equipped with a powerful combination of a 3D depth camera and Lidar. It utilizes a wide range of advanced algorithms including gmapping, hector, karto, cartographer and RRT, enabling precise multi-point navigation, TEB path planning, and dynamic obstacle avoidance. Using 3D vision, it can capture point cloud images of the environment to achieve RTAB 3D mapping navigation.JetAuto offers two Lidar options: SLAMTEC A1 and EAI G4 (advanced).
  • 【Far-field Voice Interaction】JetAuto advanced kit incorporates a 6-microphone array and speaker allowing for fascinating man-robot interaction applications, including Text to Speech conversion, voice wake-up, 360° sound source localization, offline voice recognition, voice-controlled mapping navigation, etc.
  • 【Robot Control Across Platforms】JetAuto provides multiple control methods, like WonderAi app (compatible with iOS and Android system), wireless handle, Robot Operating System (ROS) and keyboard, allowing you to control the robot at will. By importing corresponding codes, you can command JetAuto to perform specific actions. Please note that navigation app is exclusively available for Android system.
  • 【Omni-directional movement, first person view】The chassis is equipped with 4 high-performance encoder geared motors and 4 omni-directional mecanum wheels, ArmPi Pro can realize 360° movement. Combined with HD camera ending in robot arm, it can provide first person view.
  • 【Powerful Control System】RaspberryPi 4B/5 makes breakthrough in processor speed, multimedia performance, memory and connection. The combination of RaspberryPi 4B/5 and RaspberryPi expansion board significantly enhances ArmPi Pro's AI performance!
  • 【AI Vision Recognition, Target Tracking】ArmPi Pro takes OpenCV as image processing library and utilizes FPV camera to recognize and locate the target block so as to realize color sorting, target tracking, line following, and other AI games.
  • 【APP Control, FPV Transmitted Image】Android and iOS APP are available for robot remote control. Via the APP, you can control the robot in real time and switch various AI games just by one tap.
  • 【Powered by NVIDIA Jetson Nano】JetHexa is a hexapod robot powered by NVIDIA Jetson Nano B01 and supports Robot Operating System (ROS). It leverages mainstream deep learning frameworks, incorporates MediaPipe development, enables YOLO model training, and utilizes TensorRT acceleration.
  • 【SLAM Development and AI Application】Equipped with a 3D depth camera and Lidar, it achieves precise 2D mapping, multi-point navigation, TEB path planning, Lidar tracking, and dynamic obstacle avoidance. Using 3D vision, it can capture point cloud images of the environment to achieve RTAB 3D mapping navigation.
  • 【Inverse Kinematics Algorithm】JetHexa can switch between tripod gait and ripple gait flexibly. It employs an inverse kinematics algorithm, allowing it to perform "moonwalking" with fixed speed and height. Furthermore, JetHexa allows for adjustable pitch angle, roll angle, direction, speed, height, and stride, giving you complete control over its movements. With self-balancing function, JetHexa can conquer complex terrains with ease.
  • 【Robot Control Across Platforms】JetHexa provides multiple control methods, like WonderAi app (compatible with iOS and Android system), wireless handle, Robot Operating System (ROS) and keyboard, allowing you to control the robot at will. By importing corresponding codes, you can command JetHexa to perform specific actions.
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