Robotic Arm
【ROS Robotic Arm with Raspberry Pi】 ArmPi FPV is an open-source AI robot arm based on Robot Operating System and powered by Raspberry Pi. Loaded with high-performance intelligent servos and AI camera, and programmable using Python, it is capable of vision recognition and gripping.
【Abundant AI Applications】 Guided by artificial intelligence vision, ArmPi FPV excels in executing functions such as stocking in, stocking out, and stock transfer, realizing integration into Industry 4.0 environments.
【Inverse Kinematics Algorithm】 ArmPi FPV employs an inverse kinematics algorithm, enabling precise target tracking and gripping within. It also provides detailed analysis on inverse kinematics, DH model, and offers the source code for the inverse kinematics function.
【Robot Control Across Platforms】 ArmPi FPV provides multiple control methods, like WonderPi app (compatible with iOS and Android system), wireless handle, mouse, PC software and Robot Operating System, allowing you to control the robot at will.
【Abundant AI Applications】 Guided by intelligent vision, ArmPi FPV excels in executing functions such as stocking in, stocking out, and stock transfer, realizing integration into Industry 4.0 environments.
- 【xArm-UNO Unlimited Creativity】xArm UNO consists of the xArm 1S robot arm and a secondary sensor development kit. The xArm 1S is a high-quality desktop robot arm, while the sensor kit includes features such as a glowy ultrasonic sensor, color sensor, touch sensor, and more. By integrating these sensors with the robot arm, users can engage in various activities such as distance-based gripping, color sorting, sound control, and other interesting games.
- 【Equipped with UNO R3, Support Arduino Programming】The kit includes UNO R3 and the UNO R3 expansion board, supporting Arduino programming. Detailed Arduino codes are provided, allowing you to implement a variety of creative functions.
- 【Diverse Control Options】xArm-UNO supports control via PC, app, mouse, and a wireless handle. These features offer a wide range of access points for gaming and learning methods, making it highly suitable for innovative programming ideas and programming learning.
- 【High-Quality Robot Arm】xArm 1S robot arm is constructed from aluminum alloy, equipped with industry-grade bearings, and features 6 high-accuracy and high-torque serial bus servos that provide feedback on position, voltage, and temperature.
- Intelligent Bus Servo: xArm 1S with position feedback, voltage feedback functions and high torque and convenient wiring. So that it can grab heavier object and has better performance.
- Multiple Control Methods: xArm 1S supports wireless handle control, smart phone APP and mouse control.
- Three Programming Methods: PC software/Smart phone APP/Offline manual action programming.
- Powerful Control System: with ARM core CPU, built-in 4.0 Bluetooth module and 16M storage memory, robotic arm can save 1020 actions for each action group!
- Quick Wiring: connect to the 7.5V 6A DC power supply directly without any voltage regulator module. The handle control receiver adopts USB design, which is easy to insert and greatly reduces the difficulty of wiring.
Scratch
xArm 2.0: Hiwonder New Intelligent Robotic Arm Support Scratch & Python Assemble Programmable Robotic Kit
- 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
Hiwonder
Hiwonder NexArm Open-Source ROS Robotic Arm VLA Embodied AI Kit with NVIDIA/Raspberry Pi & ESP32 Dual-Controller Design, Multimodal Large AI Models & OpenClaw
-
【Embodied AI ROS 2 Robotic Arm】ROS 2-powered & Jetson/Raspberry Pi 5 compatible. Packed with a 3D depth camera, AI voice box, and 65 kg·cm magnetic encoder servos to effortlessly deliver motion-sensing interaction, voice control, and intelligent grasping.
-
【Large AI Models & OpenClaw Agent】Supports online/local multimodal AI model deployment. Deep OpenClaw Agent integration enables remote voice/text interaction, autonomous task decomposition, intelligent decision-making, and complex task execution.
-
【Integrated Algorithm Framework】Integrates YOLO26, OpenCV, MediaPipe, Gmapping, inverse kinematics, and other algorithms and tools, providing a highly configurable and extensible development environment.
-
【Visual PC Software】Features professional PC software supporting one-click scene switching and dual-stream real-time video feedback. Easily customize scenes and hardware parameters for smooth, efficient operation.
-
【Out-of-the-Box Ready & Full-Scale Curriculum】Pre-loaded with Ubuntu 22.04 alongside a complete dev stack of Python, TensorFlow, PyTorch, and ROS for instant deployment. Includes an end-to-end curriculum spanning computer vision, deep learning, NLP, inverse kinematics, large AI models, and VLA imitation learning.
Hiwonder
Hiwonder NexArm Open-Source ROS Robotic Arm VLA Embodied AI Sorting Sandbox Kit with NVIDIA/Raspberry Pi & ESP32 Dual-Controller Design, Multimodal Large AI Models & OpenClaw
-
【Embodied AI ROS 2 Robotic Arm】ROS 2-powered & Jetson/Raspberry Pi 5 compatible. Packed with a 3D depth camera, AI voice box, and 65 kg·cm magnetic encoder servos to effortlessly deliver motion-sensing interaction, voice control, and intelligent grasping.
-
【Sandbox Setup & Flexible Expansion】Compatible with electric sliding rails, conveyors, and mobile chassis, the NexArm ROS simulates smart warehousing, logistics sorting, and automated production lines—delivering a real-world validation environment for embodied AI algorithms.
-
【Large AI Models & OpenClaw Agent】Supports online/local multimodal AI model deployment. Deep OpenClaw Agent integration enables remote voice/text interaction, autonomous task decomposition, intelligent decision-making, and complex task execution.
-
【3D Vision & Spatial Grasping】Featuring a 3D depth camera and an all-metal frame, NexArm ROS enables advanced AI applications like tracking, grasping, sorting, and transporting anywhere within 3D space.
-
【Out-of-the-Box Ready & Full-Scale Curriculum】Pre-loaded with Ubuntu 20.04 alongside a complete dev stack of Python, TensorFlow, PyTorch, and ROS for instant deployment. Includes an end-to-end curriculum spanning computer vision, deep learning, NLP, inverse kinematics, large AI models, and VLA imitation learning.
Hiwonder
Hiwonder NexArm ROS Robotic Arm VLA Embodied AI Sliding Rail Warehouse Sandbox Open-Source Kit with NVIDIA/Raspberry Pi & ESP32 Dual-Controller Design, Multimodal Large AI Models & OpenClaw
-
【Embodied AI ROS 2 Robotic Arm】ROS 2-powered & Jetson/Raspberry Pi 5 compatible. Packed with a 3D depth camera, AI voice box, and 65 kg·cm magnetic encoder servos to effortlessly deliver motion-sensing interaction, voice control, and intelligent grasping.
-
【Sandbox Setups & Flexible Expansion】The NexArm ROS robotic arm is compatible with peripherals like electric sliding rails, conveyor belts, and mobile chassis. It simulates smart warehousing, logistics sorting, and automated production lines, providing a real-world validation environment for embodied AI algorithms.
-
【Large AI Models & OpenClaw Agent】Supports online/local multimodal AI model deployment. Deep OpenClaw Agent integration enables remote voice/text interaction, autonomous task decomposition, intelligent decision-making, and complex task execution.
-
【3D Vision & Spatial Grasping】Equipped with a 3D depth camera and an all-metal robotic arm, it executes advanced AI tasks like 3D spatial tracking, picking, sorting, and transporting.
-
【Out-of-the-Box Ready & Full-Scale Curriculum】Pre-loaded with Ubuntu 20.04 alongside a complete dev stack of Python, TensorFlow, PyTorch, and ROS for instant deployment. Includes an end-to-end curriculum spanning computer vision, deep learning, NLP, inverse kinematics, large AI models, and VLA imitation learning.