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Robotics

Showing 1 - 16 of 67 items
  • 【Raspberry Pi 5 & ROS2 Robot Car】MentorPi 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, 2DOF monocular 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 YOLOv5 model training to enable road sign and traffic light recognition, along with other autonomous driving features, helping users explore and develop autonomous driving technologies.
  • 【Raspberry Pi 5 & ROS2 Robot Car】MentorPi 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, 2DOF monocular 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 YOLOv5 model training to enable road sign and traffic light recognition, along with other autonomous driving features, helping users explore and develop autonomous driving technologies.
  • 【Raspberry Pi 5 & ROS2 Robot Car】MentorPi 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】Supports both Mecanum-wheel and Ackermann chassis, allowing flexibility for various applications and meeting diverse user needs.
  • 【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 YOLOv5 model training to enable road sign and traffic light recognition, along with other autonomous driving features, helping users explore and develop autonomous driving technologies.
  • 【Raspberry Pi 5 & ROS2 Robot Car】MentorPi 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】Supports both Mecanum-wheel and Ackermann chassis, allowing flexibility for various applications and meeting diverse user needs.
  • 【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 YOLOv5 model training to enable road sign and traffic light recognition, along with other autonomous driving features, helping users explore and develop autonomous driving technologies.
  • 【Compatible with Arduino】 Integrating an Arduino UNO R3 main controller and an expansion board, this system is fully compatible with the Arduino programming environment, offering 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, 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】 The combination of a 4-channel line follower and the vision module empowers miniAuto to perform line following, crossroad recognition, and traffic light detection, demonstrating its autonomous driving capabilities.
  • 【Gripper Expansion】 Expandable with a mechanical gripper, it facilitates object transportation, line following, vision-guided transport, and numerous other creative projects.
  • 【Driven by Coreless Servos】MechDog is equipped with 8 high-speed coreless servos, providing high accuracy and robust force. Its leg linkage structure enables swift and precise walking.
  • 【Inverse Kinematics for Flexible Movement】MechDog features built-in inverse kinematics that support real-time adjustments of walking direction and posture, resulting in more flexible and lifelike movements.
  • 【Cross-Platform Control with Multiple Programming Options】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.
  • 【One-click Training and Learning】DaDa:bit AI features a high-performance WonderCam AI vision module with an integrated HD camera. DaDa:bit AI's AI vision module is integrated with some learning algorithms, allowing it to complete diverse AI vision projects such as color recognition and vision line following.
  • 【Support micro:bit Programming】DaDa:bit AI is a programmable robot kit based on micro:bit, which uses micro:bit as the core controller. It is suitable for learning micro:bit programming. Drag and drop building block style modules for programming, which is easy to learn. Let children learn programming without any threshold and exercise logical thinking.
  • 【Multiple Shapes Support Sensor Expansion】DaDa:bit AI has ten shapes, which can be matched with a variety of electronic modules and sensors. Combined with the WonderCam AI vision module, it can quickly realize a variety of creative gameplay.
  • 【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.
  • 【micro:bit Programming, AI Vision Robotic Hand】AiHand is an open-source robotic hand powered by micro:bit. AiHand features a high-performance WonderCam AI vision module with an integrated HD camera. This module enables various AI applications, including color recognition, tag recognition, and more.
  • 【Powerful hardware, Support Secondary Development】AiHand is equipped with an AI vision module and a glowy ultrasonic sensor. AiHand has multiple expansion interfaces reserved to facilitate users to carry out secondary development of the robotic hand.
  • 【One-click Training and Learning】AiHand's AI vision module is integrated with some learning algorithms, allowing it to complete diverse AI vision projects such as waste sorting and tag recognition.
  • 【Various Control Methods&Makecode Programming】AiHand supports Android/ iOS APP control, micro:bit control.AiHand also supports Makecode programming.Drag and drop building block-style modules for programming,which is easy to learn.
  • 【Driven by Jetson Nano and high-voltage intelligent serial bus servos】ROSPug is a smart quadruped robot dogdruped robot driven by Jetson Nano and built on the Robot Operating System (ROS). It is equipped with 12 high-voltage strong-magnetic intelligent serial bus servos, delivering high-precision performance, rapid rotation speed, and robust torque. 
  • 【AI Vision, Unlimited Creativity】ROSPug is equipped with an HD wide-angle camera. It utilizes OpenCV library for efficient image processing, enabling a diverse range of AI applications, including target recognition and localization, line following, obstacle avoidance, face detection, ball shooting, color tracking and tag recognition.
  • 【Various Control Methods and Live Camera Feed】You can conveniently control ROSPug through WonderROS app available for Android and iOS devices, PC software, or a wireless PS2 handle. Additionally, ROSPug provides a first-person perspective experience by transmitting the live camera feed to the app.
  • 【Gait Planning, Free Adjustment】ROSPug incorporates inverse kinematics algorithm offering precise control over the touch time, lift time, and lifted height of each leg. You can easily adjust these parameters to achieve different gaits, including ripple and trot. Additionally, ROSPug provides detailed analysis of inverse kinematics, along with the source code for the inverse kinematics function.
$1,099.99

Hiwonder

  • 【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.
  • 【High-quality AI Education Demonstration System】AiArm is a smart vision robot arm powered by a self-developed controller, CoreX. It adopts high-performance intelligent servos and vision modules and can be programmed in Scratch and Python. With its impressive capabilities, AiArm unlocks diverse AI applications, such as smart vision-guided recognition and grasping.
  • 【AI Vision Recognition and Tracking】AiArm combines the WonderCam AI vision module to recognize and locate target objects, enabling the implementation of AI applications like color sorting, waste sorting.
  • 【Different Motion Control Methods】Whether it's PC software control, offline control, or inverse kinematics control, you have the versatility to design and edit various actions, unlocking the full potential of the robot arm's capabilities.
  • 【Multiple Sensor Expansion】Integrating with sensors and modules, AiArm can execute various interesting functions, including an Al face tracking fan, ultrasonic vision hunt.
  • 【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.
  • 【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.
  • 【High-quality vibration reduction effect】The chassis incorporates an 8-channel high-elasticity carbon steel tension spring and is equipped with micro bearings, ensuring agile maneuverability across diverse terrains.
  • 【Strong robot tank bracket】The main body is crafted from aluminum alloy and undergoes an anodized surface treatment, resulting in an exquisite appearance.The top layer can be easily removed,facilitating DIY development.
  • 【More extended functions】Bracket contain multiple expansion ports and are fully compatible with popular controllers on the market such as Jetson Nano, Raspberry Pi, Arduino ect. You also can add multiple sensors and servos to create your robot.
  • 【Application】This it is perfect for hobbyists, educational, competitions and research projects. Many schools or education departments choose this car chassis for school students to learn AI robot knowledge.
  • 【Version Difference】The standard version is a single layer Track chassis; The advanced version is the double layer Track chassis.
  • 【High-performance Hardware Configurations】AiNex is developed upon Robot Operating System(ROS) and featuring a Raspberry Pi, 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.
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