Robotics
Hiwonder
Hiwonder MentorPi M1 Raspberry Pi Robot Car – Mecanum wheel ROS2 Robot, with LLM ChatGPT, SLAM and AI Vision and Voice Interaction
【Raspberry Pi 5 & ROS2】Powered by RPi 5 and compatible with ROS2, MentorPi car is an ideal platform for developing AI robots. The system is fully programmable in Python, making it accessible for a wide range of projects.
【Choose Your Chassis】 Whether you need the precision of an Ackermann chassis or the maneuverability of Mecanum wheels, MentorPi raspi car has you covered. Its flexible design lets you switch between configurations to fit your unique needs.
【Top-Tier Hardware Inside】 Packed with high-performance components like closed-loop encoder motors, a TOF lidar, a 3D depth camera, and high-torque servos, MentorPi RPi robot delivers speed and accuracy.
【Advanced AI】 From SLAM mapping and path planning to multi-robot coordination and vision recognition, MentorPi robot supports a wide range of AI applications.
【Autonomous Driving】 Utilize YOLOv11 model training to enable advanced autonomous driving features, including road sign and traffic light recognition. This provides an excellent platform for learning and developing autonomous driving.
【Advanced Interaction】 Hiwonder MentorPi deploys multimodal models with ChatGPT at its core. By integrating a 3D vision system and an AI voice interaction box, the robot gains enhanced perception, reasoning, and actuation. This enables advanced embodied AI applications and delivers natural interaction.
Hiwonder
Hiwonder MentorPi A1 Raspberry Pi Robot Car – Ackerman Chassis, ROS2 AI Coding Robot with Large AI model ChatGPT, SLAM and Autonomous Driving
【Raspberry Pi 5 & ROS2 Robot Car】 Powered by a Raspberry Pi 5 and ROS2, the MentorPi A1 robot is an ideal platform for AI robot development, programmed in Python.
【Built with Advanced Components】 Equipped with closed-loop encoder motors, a TOF lidar, a 3D depth camera, and high-torque servos for optimal performance.
【Advanced AI Capabilities】 Supports SLAM mapping, path planning, vision recognition, target tracking, and more for a wide range of AI applications.
【Autonomous Driving with Deep Learning】 Utilizes YOLOv11 model training to enable road sign and traffic light recognition, helping users develop autonomous driving technologies.
【Human-Robot Interaction】 Empowered by a large AI model with ChatGPT at its core, MentorPi robot A1 uses 3D vision and AI voice to enhance its capabilities, enabling natural, context-aware human-robot interaction.
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 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.
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.