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Showing 33 - 48 of 227 items
  • 【High-performance three-dimensional motion and posture measurement system】The IM10A inertial navigation module includes a 3-axis electronic gyroscope + 3-axis accelerometer + 3-axis magnetometer + barometer (angle + altitude), combined with a high-dynamic Kalman filter fusion algorithm to provide users with high-precision, high-dynamic, real-time compensation 3-axis posture angle data.
  • 【Rich data output】The IM10A inertial navigation module can output Euler angles (Roll, Pitch, Yaw), quaternions, position, speed, acceleration, angular velocity, and magnetic field vectors. It can provide output frequency up to 200Hz in real time, thus greatly reducing the research and development time for various needs.
  • 【Supports multiple communication methods】 Supports USB/UART/I2C communication methods, is more efficient and compatible with Raspberry Pi, STM32, and Jetson series development boards, providing more development possibilities for DIY makers.
  • 【Provide rich tutorial materials】 Hiwonder provides a wealth of tutorial materials, such as PC software, operating instructions, development manuals, development codes, source codes, etc.
  • 【AI-Driven and Jetson-Powered】 JetArm is a high-performance 3D vision robot arm developed for ROS education scenarios. It is equipped with the Jetson Nano, Orin Nano, or Orin NX as the main controller, and is fully compatible with both ROS1 and ROS2. With Python and deep learning frameworks integrated, JetArm is ideal for developing sophisticated AI projects.

  • 【High-Performance AI Robotics】JetArm features six intelligent serial bus servos with a torque of 35KG. The robot is equipped with a 3D depth camera, a built-in 6-microphone array, and Multimodal Large AI Models, enabling a wide variety of applications, such as 3D spatial grabbing, target tracking, object sorting, scene understanding, and voice control.

  • 【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.

  • 【Enhanced Human-Robot Interaction Powered by AI】 JetArm leverages Multimodal Large AI Models to create an interactive system centered around ChatGPT. Paired with its 3D vision capabilities, JetArm boasts outstanding perception, reasoning, and action abilities, enabling more advanced embodied AI applications and delivering a natural, intuitive human-robot interaction experience.

  • 【Advanced Technologies & Comprehensive Tutorials】 With JetArm, you will master a broad range of cutting-edge technologies, including ROS development, 3D depth vision, OpenCV, YOLOv8, MediaPipe, AI models, robotic inverse kinematics, MoveIt, Gazebo simulation, and voice interaction. We provide in-depth learning materials and video tutorials to guide you step by step, ensuring you can confidently develop your own AI-powered robotic arm.

  • 【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.
Hiwonder SpiderPi: AI Intelligent Visual Hexapod Robot Powered by Raspberry Pi 5 Hiwonder SpiderPi: AI Intelligent Visual Hexapod Robot Powered by Raspberry Pi 5
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  • 【Raspberry Pi AI Robot】An ideal platform for conducting research in motion control for hexapod robots, machine vision, OpenCV, deep learning, and various other fields.
  • 【AI Vision for Infinite Creativity】Feature a wide-angle HD camera and use OpenCV for various AI vision applications such as transportation.
  • 【Support App Control】 Enjoy remote control of robot movements and access a live camera feed for first person view.
  • 【Inverse Kinematics, Various Gait Modes】SpiderPi utilizes inverse kinematics to enable a range of gait modes of tripod and quadruped gaits. And it offers adjustable height and speed, as well as the ability to make turns and change its motion direction.
  • Compatible with both the latest Raspberry Pi 5 models, featuring identical interfaces. No external flat cables are required, and supports peripherals such as active heat sinks.
  • Leveraging a Cortex-M3 32-bit high-performance ARM chip, it communicates via the MCU serial port to independently drive peripherals such as servos and motors. This alleviates the workload of Raspberry Pi 5, significantly enhancing the processing efficiency and speed for Raspberry Pi robots.
  • Featuring a 6-axis attitude sensor MPU6050, it facilitates the initialization of IMU registers and printing of raw 6-axis IMU data, encompassing 3-axis accelerator and 3-axis gyroscope. The model A expansion board exclusively supports motors. Both model A and B accommodate PWM and bus servos. The Model C is tailored solely for PWM servo compatibility.
  • Metal gear for higher accuracy and stronger torque
  • Support temperature, voltage and position feedback
  • Two working modes: servo mode and gear motor mode
  • Provide 51, Arduino, STM32, Raspberry Pi source code
  • 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
  • Clean Wiring -Three Channels on the top, left and right are easy for wiring.
  • Large Torque - Maximum torque is up to 35kg.cm 7.4V. 240 degree rotation. 360 degree rotation when power-off, perfect for robot joint activities
  • Variable ID -The default number is 1 which is modifiable.
  • Support Feedback- position/temperature/voltage feedback for protecting the servo from burning.
  • Details Tutorial - Provide bus servo communication protocol, 51 Arduino and STM32 source code.
  • Dimensions -2.14 x 0.79 x1.79inch (54.38 x 20.14 x 45.5mm); Weight: 64g (2.22oz) only
  • Upgraded Servo Controller
  • Brand-new Sensors
  • Inverse Kinematics Algorithm
  • Mobile/PC/handle/offline manual control
  • Based on Scratch/Python
  • Serial bus servo. Full metal gear
$329.99

Scratch

  • 【Powerful Hardware】The chassis is equipped with high-performance DC reduction motor, high-quality rubber tires, LD-1501MG high-torque digital servo and other components.The chassis adopts an all-metal aluminum alloy structure with anodized surface, which is beautiful and exquisite.
  • 【Ackerman Steering Structure】The chassis adopts a forward Ackerman steering structure and the rear wheels travel with electronic differential, which can satisfy users' learning of Ackerman's special structure.
  • 【Unlimited Expansion】The Ackermann steering car chassis is a DIY kit, and suitable for robot lovers. At the same time, it can expand electronic systems such as STM32 to achieve more creativity.
  • 【Version Difference】The standard version is a single layer Ackermann chassis; The advanced version is the double layer Ackermann chassis.
  • All kit versions include a 4-channel encoder driver.
  • 【High Precision & Adjustable Speed Servo Tester】CPU uses a high-performance STM32 microcontroller with ARM Cortex-M3 core to control 16-channel servo movement with high precision and adjustable speed. With signal isolation protection, the servo output is isolated from the CPU to avoid servo current surge damage to the CPU.
  • 【16-channel Intelligent Servo Controller】Support serial communication, the 16-channel servo controller can communicate with other microcontrollers through TTL-level serial communication, and other microcontrollers can send commands to the control board. So that your robot can realize intelligent control, you can play sound control, body sensing, tracking, light chasing, and obstacle avoidance with it.
  • 【With Over-current Protection】Simple wiring. Built-in switch, easy to use, reduces wiring troubles. All 8-channel servo ports have over-current protection! It greatly prevents the servo from being burnt out due to block.
  • 【Large Capacity Memory】16M large capacity memory, enough for your use. Can hold 230 action groups, each action group can hold 510 actions.
  • 【2 Control Modes】Support online debugging, no need to install a driver. Support two offline running modes, you can run offline for 1 time or cycle offline countless times.
Hiwonder uHandPi Raspberry Pi Robotic Hand, AI Vision Recognition and Tracking, Python Programming, Deep Learning Hiwonder uHandPi Raspberry Pi Robotic Hand, AI Vision Recognition and Tracking, Python Programming, Deep Learning
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  • 【Driven by Raspberry Pi 5】uHandPi harnesses the power of Raspberry Pi 5, combined with the OpenCV vision library, to deliver an AI-driven robotic hand that seamlessly integrates vision capabilities for enhanced precision and performance.
  • 【Innovative Self-Developed Linkage Structure】Designed with Hiwonder's proprietary linkage structure, uHandPi mirrors the natural movements of the human hand, allowing it to execute delicate tasks with remarkable accuracy, making it perfect for a wide variety of operations.
  • 【Cutting-Edge AI Vision Features】Boasting a suite of advanced features, including color recognition, face detection, gesture recognition, and object tracking, uHandPi elevates the user experience with intuitive and responsive human-machine interaction.
  • 【Machine Learning & Interactive Fun】Powered by MediaPipe, uHandPi can be trained to recognize and deploy multiple human-machine interaction models, enabling innovative AI-driven interactions like interactive games, including Rock-Paper-Scissors.
  • 【High-Performance Humanoid Robot】A humanoid robot powered by ESP32 with intelligent servos. Use the app to easily control it for walking, dancing, or performing gymnastics.
  • 【Three Programming Options】Supports Arduino, Python, and Scratch programming, with comprehensive tutorials and use cases for AI learning at all ages.
  • 【Advanced AI Interaction】Features an AI vision and voice interaction module to recognize and track objects via voice commands. Customize commands and train it to be your AI assistant.
  • 【Expandable with Sensors】Loaded with an ultrasonic sensor, IMU sensor, buzzer, and supports modules like dot matrix display, fan, temp/humidity sensors, and WiFi for AI-driven development.
  • 【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, supports ROS1&ROS2, 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.
  • 【Open Source Somatosensory Gloves, Compatible with Arduino】Hiwonder somatosensory gloves are open source bionic robot control gloves, compatible with the Arduino development environment, and support secondary development, allowing you to realize creative robot projects.
  • 【Built-in Acceleration Sensor and High-precision Potentiometer】The somatosensory gloves have 5 built-in encoders and 1 acceleration sensor. They transmit data through the built-in Bluetooth module and control your robot as you like.
  • Long service time
  • Support graphical programming
  • Equipped with plenty of modules
  • Use micro:bit + micro:bit Expansion board
  • Various control and programming methods
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