allow-activity
- Weight: 14g
- No-load current: 100mA
- Operating Voltage: 4.8V-6V
- Torque: 1.5kg.cm(4.8v)1.8kg.cm(6v)
- Speed: 0.12sec/60° (4.8v) 0.10sec/60°(6V)
【Serial Bus Connection】The servo features a dual-interface serial bus connection, streamlining the wiring process and enhancing the product's neatness and aesthetic appeal.
【85KG High Torque & High Precision Potentiometer】 Utilizing a high-precision potentiometer for 240° angle feedback and up to 85 kg·cm torque, the servo ensures exceptional accuracy and linearity. This enhances the robot's stability and extends the lifespan of the servo.
【Flexible Application】The servo supports ID-based bus communication for easy identification, and provides real-time monitoring with feedback on angle, temperature, and voltage. Additionally, it offers dual-mode functionality, supporting both servo mode and reduction motor mode.
【Dual-Axis Structure】Featuring a dual-axis stabilization design, the main shaft delivers power while the auxiliary shaft provides support. This dual-axis configuration ensures smooth and stable operation of robotic joints.
【Stainless-Steel Gear & CNC Metal Case】High-strength stainless steel gears combined with a precision CNC metal middle case provide excellent durability, effective heat dissipation, and long-term reliability for demanding robotic tasks.
- Upgraded Version -Three Channels on the top, left and right are easy for wiring.
- Large Torque - Maximum torque is up to 25kg.cm 7.4V. 270 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.
- Details Tutorial - Provide bus servo communication protocol, Provide for Arduino and STM32 source code.
- Dimensions -1.57 x 0.79 x 2.01inch (40 x 20.14 x 51.1mm); Weight: 63g (2.22oz) only.
Hiwonder
Hiwonder miniAuto AI Vision Robot Base on Arduino UNO R3 Controller with 360° Omnidirectional Mecanum Wheels, Supports Arduino Programming
【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.
Hiwonder
Hiwonder LanderPi Raspberry Pi Robot Car with AI Vision Robotic Arm, Support ROS2, Large AI Model (ChatGPT), SLAM Mapping/Navigation, AI Voice Interaction, Intelligent Sorting
【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.
Hiwonder
Hiwonder JetAcker AI Robot Kit – NVIDIA Jetson-Powered ROS1/ROS2 Educational Coding Robot with multimodal AI model (ChatGPT), Voice Control, AI Vision Interaction & SLAM
【AI-Driven & Jetson-Powered】 Hiwonder JetAcker is a high-performance ROS robot for STEAM education. Equipped with Jetson Nano/Orin Nano/Orin NX controllers and compatible with both ROS1 and ROS2, JetAcker integrates deep learning frameworks with TensorRT acceleration.
【SLAM Development and Diverse Configuration】Hiwonder JetAcker 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, JetAcker AI robot can capture point cloud images of the environment to achieve RTAB 3D mapping navigation.
【Al Large Model Empowered, Human Robot Interaction Redefined】 JetAcker deploys multimodal models with ChatGPT at its core, integrating 3D vision and a 6-microphone array. This synergy enhances its perception, reasoning, and actuation capabilities, enabling advanced embodied AI applications and delivering natural, context-aware human robot interaction.
【Classical Ackermann Steering Mechanism】 The Ackermann chassis combines maneuverability and steering precision, facilitating the learning and validation of real-world vehicle steering principles. This design enables realistic simulation of autonomous driving scenarios for enhanced educational experiences.
【STEAM Education Tutorials】 Hiwonder JetAcker's structured curriculum guides users to master cutting-edge technologies including ROS development, SLAM mapping and navigation, 3D depth vision, OpenCV, YOLO26, MediaPipe, Large Al model integration, Movelt and Gazebo simulation, and voice interaction. Supported by extensive documentation and video tutorials, our progressive learning system breaks down complex concepts into digestible modules, guiding you from fundamentals to advanced implementations-empowering you to build your own intelligent robotic systems.
Hiwonder
ROS Robot Control Board with STM32F407VET6 Chip, Supports 4-Channel Encoder Motor, PWM Servos, and Bus Servo Control, Compatible with JETSON, Raspberry Pi
- 【High-Performance Main Control Chip】Features the STM32F407VET6 chip with a Cortex-M4 core, 168MHz clock speed, built-in FPU, and Murata crystal oscillator, ensuring stable performance and rapid processing.
- 【Comprehensive Circuit Protection】Equipped with safeguards against reverse polarity, overcurrent, overheating, and backflow, protecting the device from damage during operation.
- 【Versatile Signal Input Support】 Includes interfaces for color display, USB, SBUS, I2C, and Bluetooth, supporting a wide range of control methods.
- 【Strong Expandability】Capable of controlling 4-channel encoder motors, PWM servos, and bus servos, making it suitable for various robotic and mechanical arm applications.
- 【Wide Compatibility】 Compatible with multiple ROS controllers, such as Raspberry Pi and JETSON, providing robust compatibility.
【AI Raspberry Pi Spider Robot】 SpiderPi Pro provides an ideal platform for researching motion control of hexapod robots, and machine vision, OpenCV, deep learning, etc.
【AI Vision Robot Arm Loaded】 5DOF vision robotic arms are added to empower SpiderPi Pro to accurately locate, track, pick up, sort, and stack target objects precisely.
【AI Vision for Creative Application】 Features a wide-angle HD camera & OpenCV for various AI vision applications such as obstacle avoidance.
【App Control & Live FPV】 Enjoy remote control & real-time HD video streaming to seamlessly navigate your robot from anywhere. First-person view offers enhanced precision and interaction.
【Inverse Kinematics, Various Gait Modes】 SpiderPi Pro 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.
Servo Controller
LSC-6: Hiwonder 6 CH Bluetooth 4.0 Servo Controller Module RC Robot Toy for Children
- Built-in power switch
- High-performance CPU
- 16M high-capacity memory
- Built in Bluetooth 4.0 module
- Support TTL serial communication
Hiwonder
iFLYTEK Far-Field Microphone Array Module ROS Six-Microphone Voice Board 6-Microphone Sound Source Positioning Navigation
- Real-time Translation
- Sound Source Localization
- Support ROS
- TTS (Text to Speech)
- Offline Voice Recognition
- Echo Cancellation
- Audio Noise Reduction
Hiwonder
RRC Lite Controller with Built-in STM32 Chip, Supports Raspberry Pi 5 Power Supply Protocol, Integrated IMU, 4-Channel Encoder Motor Ports, Servo Ports, and USB
- 【High-Performance Main Control Chip】Powered by the STM32F407VET6 chip with a Cortex-M4 core, offering a maximum clock speed of 168MHz for robust performance.
- 【Support PD Fast-Charging】 Integrated PD fast-charging chip compatible with Raspberry Pi 5 power supply protocol, ensuring stable and continuous power for extended operation.
- 【Integrated IMU Pose Sensor】Features a high-precision IMU sensor for real-time pose detection and feedback, ideal for applications in robotic balance and navigation.
- 【Abundant Peripheral Interfaces】Includes 4-channel encoder motor ports, servo ports, USB serial ports, and more, enabling flexible control of multiple peripherals.
micro:bit
Hiwonder WonderEcho AI Voice Recognition Module Voice Broadcasting Custom Wake Words Offline Control
【AI Voice Recognition and Broadcasting】 This module seamlessly integrates AI voice recognition and broadcasting functions, achieving a recognition accuracy of up to 98%. It supports both Chinese and English keywords, offering robust capabilities for AI voice applications.
【Advanced Neural Network Processor】 Powered by a neural network processor, Hiwonder WonderEcho module supports convolutional neural network (CNN) operations, greatly improving both the speed and accuracy of AI voice recognition.
【Wide Compatibility】 With Type-C and I2C interfaces, WonderEcho is fully compatible with platforms such as Arduino and Raspberry Pi, enabling integration into a variety of development environments.
【Extensive Voice Interaction Library】 Preloaded with over 100 voice interaction commands, the module comes with comprehensive user guides, allowing users to easily integrate voice functionality and reduce development time.
Hiwonder
STL-19P D500 Lidar Developer Kit 360 Degrees DTOF Laser Scanner Support ROS1 ROS2 Raspberry Pi Jetson Nano
- Long service time of 10000h
- 30000lux resistance to strong light
- Distance measurement up to 12m radius
- 360° all-round laser scanning
- Compatible with ROS1 and ROS2 systems
Hiwonder
Hiwonder JetMax JETSON NANO Robot Arm ROS Open Source Vision Recognition Programmable Robot
【AI-Driven, NVIDIA Jetson Nano-Powered】 Hiwonder JetMax is an open source AI robotic arm developed based on ROS. It is based on the Jetson Nano control system, supports Python programming, adopts mainstream deep learning frameworks, and can realize a variety of AI applications.
【AI Vision, Deep Learning】 The end of JetMax is equipped with a high-definition camera, which can realize FPV video transmission. Image processing through OpenCV can recognize colors, faces, gestures, etc. Through deep learning, JetMax can realize image recognition and item handling.
【Inverse Kinematics Algorithm】 JetMax uses an inverse kinematics algorithm to accurately track, grab, sort and palletize target items in the field of view. Hiwonder will provide inverse kinematics analysis courses, connected coordinate system DH model and inverse kinematics function source code.
【Multiple Expansion Methods】 You can purchase additional McNamee wheel chassis or slide rails to expand your JetMax, expand the range of motion of JetMax, and do more interesting AI projects.
【Detailed Course Materials and Professional After-sales Service】 We provide 200+ courses and provide online technical assistance to help you learn JetMax more efficiently! Note: Hiwonder only provides technical assistance for existing courses, and more in-depth development needs to be completed by customers themselves.
Hiwonder
Hiwonder BusLinker V3.0 Servo Debugging Board, Embedded Robotic Arm Servo Driver Module Controller
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【Supports Magnetic Encoder Servo Control】Wide 5–14V input range drives Hiwonder magnetic encoder servos effortlessly. Includes Type-C cable for easy connection.
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【Professional PC Software】Graphical interface for servo scanning, parameter tuning, and motion mode switching. Simplifies debugging and speeds up development.
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【Multiple Communication Modes】Supports UART, USB, and single-wire TTL for flexible servo control across different setups.
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【Supports Multi-Controller Platforms】Compatible with Jetson, Raspberry Pi, ESP32, STM32, Arduino, and more. Extra serial ports are available for expansion and integration.
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【Comprehensive Tutorials】Comes complete with multi-platform code examples, professional debugging tools, and full documentation, accelerating development and enabling greater focus on hardware innovation.
Arduino
Hiwonder Tonybot Humanoid Robot with Multimodal Large AI Models, Vision AI & Voice Interaction, Educational Programming Kit, Supports Arduino, Scratch & Python
【Humanoid Robot with ESP32】 Powered by ESP32 and intelligent servos, Tonybot smart humanoid robot delivers smooth, dynamic performance. No coding required, Hiwonder's app puts complex robot movements like walking, dancing, and gymnastics at your fingertips.
【Multimodal Large AI Models】 Powered by an AI model module that combines language, voice, and vision models, Tonybot Ultimate Kit unlocks advanced embodied AI functions such as natural conversation and scene understanding.
【Offline Vision & Voice Interaction】 Equipped with an ESP32-S3 vision module and voice interaction module, Tonybot enables offline face recognition, target tracking, visual line following, voice control, and more.
【Expandable AI Development with Sensors】 Tonybot comes with an ultrasonic sensor, IMU sensor, buzzer, and supports modules like dot matrix display, fan, temp/humidity sensors, and WiFi for endless AI-driven development.
【Multiple Programming Options & Comprehensive Tutorials】 Compatible with Arduino, Scratch, and Python, with open-source low-level code and step-by-step tutorials covering everything from beginner learning to advanced humanoid robot development.