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  • 【Drive Multiple Motors】The 4-channel encoder motor driver can drive a variety of Hall encoder TT motors and 520/310 DC gear motors available in the market.
  • 【Support Various Controllers】The 4-channel encoder motor driver is compatible with STM32, Arduino microcontrollers, Raspberry Pi 5/4B, Jetson Nano, and other controllers.
  • 【High-performance Motor Driver Chip】The 4-channel encoder motor driver features the SA8339 high-performance motor driver chip. Ideal for electronic competitions and DIY robot cars, it offers versatility and reliability.
  • 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
  • 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

  • 【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.
  • 【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.
  • 【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.
  • 【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.
  • 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. It can be used to replace xArm ID5 servo
  • 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
  • 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
  • Long service time
  • Support graphical programming
  • Equipped with plenty of modules
  • Use micro:bit + micro:bit Expansion board
  • Various control and programming methods
  • 【High-performance Arduino Humanoid Robot】Tonybot is 17DOF Arduino Humanoid Robot.It features a body equipped with 16 high-voltage bus servos and includes over 10 preset motion groups, enabling it to perform actions such as walking, dancing, and gymnastics.
  • 【Support Arduino Programming】Tonybot is a programmable humanoid robot compatible with the Arduino platform. The humanoid robot servo controller and the compatible Arduino Nano controller combine to reach new heights.
  • 【Support Sensor Expansion】Tonybot comes with a variety of sensor expansion packs, compatible with Arduino programming, allowing for secondary development of the robot. We provide detailed course materials for learning and open-source code, making it easy for you to realize various creative ideas!
  • 【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.
  • Powerful PS2 signal receiver
  • Simply designed button and remoter
  • Support robotic arm and humanoid robot control
  • Only compatible with Hiwonder channel servo controllers
  • 【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.
  • 【Powered by ESP32 Controller】The xArm-ESP32 open source desktop robotic arm uses the ESP32 open source controller as the main control system and adopts Micro-Python programming. The robotic arm has an expansion interface, and with the sensor expansion package, it can realize intelligent grasping, color sorting and other gameplay.
  • 【Supports Multiple Control Methods】The xArm-ESP32 supports three action editing methods: via host computer and mobile phone app, as well as PS2 handle, synchronous teaching device, and other six control methods. Additionally, these robotic arms can be wirelessly controlled via Bluetooth, offering ease of operation and endless enjoyment.
  • 【Inverse Kinematics Algorithm】We have provided a comprehensive analysis of the xArm ESP32 inverse kinematics, enabling you to thoroughly understand the operational logic of the robot arm.
  • 【Intelligent Bus Servo, Powerful Power Core】The xArm-ESP32 employs intelligent serial bus servos that offer high accuracy and precise data feedback. Its wiring is simplified to reduce friction between the wires and brackets. The base servo has been upgraded to one with a torque of 25KG, enabling the robot arm to lift objects weighing up to 500g while maintaining smooth motion.
  • 【Specifications】76mm*53mm(2.99in*2.09in); Weight: 37g (1.31oz)
  • 【Power Supply】This controller can be powered by either a Lipo battery or a power adapter, operating within a voltage range of 5-8.4V.
  • 【Manual Adjustment】The controller has 6-channel PWM digital servo port, adopts high-accuracy potentiometer for precise servo control and provides servo reset function.
  • 【Support PWM Servo】It supports a wide variety of PWM servos, allowing manual angle adjustments without the need for coding.
  • 【Controller Accuracy】Its control accuracy can reach up to 0.09° (with a 1us PWM limit for minimal changes)
  • 【Overcurrent protection】The controller offers 3-channel overcurrent protection to prevent damage to the servo.
  • 【Versatile Applications】It can be applied in gripper, AI robot, robot arm and more.
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