Hiwonder

【AI-Driven and Jetson-Powered】Hiwonder 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】Hiwonder JetArm features 6 intelligent serial bus servos with a torque of 35KG. The robot arm is equipped with a 3D depth camera, a built-in 6-microphone array, and Multimodal AI Large 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, Hiwonder JetArm can realize free grabbing in 3D scene and other AI projects.

【Enhanced Human Robot Interaction Powered by AI】JetArm leverages Multimodal AI Large 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 & STEAM Education Tutorials】With JetArm, you will master a broad range of cutting-edge technologies, including ROS development, 3D depth vision, OpenCV, YOLOv11, 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.

【NVIDIA Jetson & Raspberry Pi 5 Powered】 Driven by high-performance Jetson and Raspberry Pi 5 controllers, JetAuto Pro delivers native ROS1/ROS2 compatibility. With integrated TensorRT and deep learning frameworks, JetAuto is purpose-built for advanced AI applications, SLAM, and vision recognition.

【Multimodal Large AI Models & OpenClaw】 Deploying OpenClaw and ChatGPT-centric multimodal models, the system seamlessly fuses 3D vision with a 6-microphone array. This enables natural, context-aware voice interaction that fully empowers real-world embodied AI applications.

【Advanced Dual-Sensor SLAM & Navigation】 Pairing a 3D depth camera with LiDAR, the robot natively supports Gmapping and Cartographer algorithms. It delivers high-precision multi-point autonomous navigation, dynamic obstacle avoidance, and real-time 3D point cloud mapping.

【Versatile Cross-Platform Control】 Supports cross-platform control via mobile apps, wireless controllers, and keyboards. It can seamlessly import custom code to autonomously decompose tasks and precisely execute complex actions.

【Progressive STEAM & Complete Simulation】 Master development with a structured curriculum covering ROS, 3D vision, MoveIt motion planning, and Gazebo simulation. Backed by comprehensive documentation, it empowers developers to rapidly build intelligent robotic systems.

【Al-Driven ROS Robot】 Powered by NVIDIA Jetson or Raspberry Pi 5, this ROS 1/ROS 2 compatible robot integrates mainstream deep learning frameworks,including YOLO26 and MediaPipe.

【Multimodal Al & OpenClaw Empowerment】 Featuring ChatGPT-centered multimodal Al models and deep OpenClaw integration, the robot autonomously handles task decomposition, intelligent decision-making, and precise execution to achieve true embodied intelligence.

【SLAM & Intelligent Navigation】 Combining a 3D depth camera and LiDAR with Gmapping and Cartographer algorithms, the system delivers precise multi-point navigation,TEB path planning, and dynamic obstacle avoidance.

【High-Performance Visual Robotic Arm】 The onboard 6DOF robotic arm features 35 kg torque and an end-effector HD camera, enabling precise object grasping from a first-person perspective.

【Far-Field Voice & Multimodal Control】 The integrated 6-microphone array and speaker support sound source localization, voice navigation, and voice-controlled grasping. Multiple control options are available, including a mobile app, a wireless controller, ROS, and keyboard inputs.

【Powered by NVIDIA Jetson Nano】 JetHexa is a hexapod robot powered by NVIDIA Jetson Nano B01 and supports Robot Operating System (ROS). It leverages mainstream deep learning frameworks, incorporates MediaPipe development, enables YOLO model training, and utilizes TensorRT acceleration.

【SLAM Development and AI Application】 Equipped with a 3D depth camera and Lidar, it achieves precise 2D mapping, multi-point navigation, TEB path planning, Lidar tracking, and dynamic obstacle avoidance. Using 3D vision, it can capture point cloud images of the environment to achieve RTAB 3D mapping navigation.

【Inverse Kinematics Algorithm】 JetHexa can switch between tripod gait and ripple gait flexibly. It employs an inverse kinematics algorithm, allowing it to perform "moonwalking" with fixed speed and height. Furthermore, JetHexa allows for adjustable pitch angle, roll angle, direction, speed, height, and stride, giving you complete control over its movements. With self-balancing function, JetHexa can conquer complex terrains with ease.

【Robot Control Across Platforms】 Hiwonder JetHexa 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. By importing corresponding codes, you can command JetHexa to perform specific actions.

【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.

【Supports ROS1 and ROS2 configuration】Hiwonder JetRover is compatible with ROS1 & ROS2. The main control solution has been upgraded to support 3 main control solutions: Raspberry Pi 5, Jetson Nano, and Jetson Orin Nano. Users can choose the adaptation solution according to their own needs.

【Smart ROS AI Robots】 JetRover is a professional robotic platform for ROS learning and development, powered by NVIDIA Jetson Nano and supports Robot Operating System (ROS). It leverages mainstream deep learning frameworks, incorporates MediaPipe development, and enables YOLO model training.

【SLAM Development and Diverse Configuration】Hiwonder JetRover 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 and cartographer, enabling precise multi-point navigation, TEB path planning, and dynamic obstacle avoidance.

【AI Vision Robotic Arm】JetRover robot car includes a 6DOF vision robot arm, featuring intelligent serial bus servos with a torque of 35KG. A HD camera is positioned at the end of robot arm, which provides a FPV for object grabbing tasks.

【Empowered by Al Large Model, Human Robot Interaction Redefined】 JetRover 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.

【Robot Control Across Platforms】 Hiwonder JetRover 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 car at will.

【Smart ROS Robots Driven by AI】 JetTank supports Robot Operating System (ROS). It leverages mainstream deep learning frameworks, incorporates MediaPipe development, enables YOLO model training. This combination delivers 3D machine vision applications, including autonomous driving, somatosensory interaction and KCF target tracking.

【SLAM Development and Diverse Configuration】 Hiwonder JetTank is equipped with a 3D depth camera and Lidar. It utilizes a wide range of advanced algorithms including gmapping, hector, karto and cartographer, enabling precise multi-point navigation, TEB path planning, and dynamic obstacle avoidance.

【High-performance Hardware Configurations】 JetTank is made of aluminum alloy and employs various hardware components, including reinforced nylon continuous track, 520 Hall encoder gear motors, metal drive wheel, Lidar, Astra Pro Plus depth camera, 6-microphone array, speaker, etc.

【Far-field Voice Interaction】 JetTank advanced kit incorporates a 6-microphone array and speaker allowing for man-robot interaction applications, including Text to Speech conversion, voice wake-up, 360° sound source localization, voice-controlled mapping navigation, etc.

【Robot Control Across Platforms】 JetTank provides multiple control methods, like WonderAi app (iOS&Android), wireless handle, Robot Operating System (ROS) and keyboard, allowing you to control the robot at will.

【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.

【ESP32 Controller & Arduino Programming】 LeArm AI is an AI open source robot arm powered by ESP32 and fully compatible with Arduino programming. It features built-in Bluetooth and multiple expansion ports, which maks it ideal for function upgrades and secondary development.

【Inverse Kinematics & Smart Bus Servos】 Equipped with 6 smart bus servos and advanced inverse kinematics algorithm, Hiwonder LeArm AI delivers precise path planning and smooth, efficient movements—perfect for tackling complex tasks.

【Versatile Sensor Expansion】 LeArm supports a wide range of sensors, including AI vision, voice module, ultrasonic, and acceleration sensors. It enables creative applications like color recognition, target tracking, face detection, voice control, and distance measurement.

【Multiple Control Options】 Control LeArm AI with an app, PC software, or wireless controller. It's incredibly easy to get started, requiring no prior experience.

【Open Source Code & Comprehensive Learning Resources】 Comes with 200+ tutorials, sample experiments, open source code, circuit schematics, and well-commented programs—helping users dive into AI and programming while sparking endless creativity.

【Compatibility with the LeRobot Ecosystem & End-to-End Algorithms】Hiwonder SO-ARM101 robotic arm is fully integrated with the LeRobot framework to access community models, datasets, and simulations. Developers can easily train and deploy end-to-end imitation and reinforcement learning algorithms like ACT.

【Leader-Follower Teleoperation & VLA Development】Supports synchronous teleoperation via leader and follower arms. By capturing HD video alongside trajectory data, Hiwonder SO-ARM101 robotic arm quickly builds "vision-action" datasets, making it an ideal platformfor VLA (Vision-Language-Action) model training.

【Dual-Camera Vision System】Equipped with both a gripper-mounted camera and an external camera, the robot arm system supports both precise manipulation and environmental awareness for accurate imitation learning.

【High-Performance Servos】Featuring six 30KG high-torque servos with magnetic feedback, the arm delivers smooth, stable motion, eliminating issues like power deficiency and jitter.

【Professional Visual PC Software】Integrated with servo scanning, status monitoring, and trajectory control, the BusLinker V3.0 debugging board simplifies device control and debugging.

【Advanced ESP32 microcontrol】 MaxArm is powered by a high-performance ESP32 microcontroller, making it a versatile open source robot arm for learning robot arm programming with both Arduino and Python.

【Linkage Mechanism, Perfect for STEAM Education】 This desktop robot arm features a robust linkage mechanism and integrates with a sliding rail, simulating real-world industrial automation right on your desk.

【AI Vision Module Ready with Hiwonder Ecosystem】 Unlock advanced capabilities as an AI robotic arm. MaxArm is fully compatible with Hiwonder sensors like the WonderCam AI vision module, enabling exciting projects in mask recognition, object sorting, and etc.

【All-in-One STEAM Education Powerhouse】 As the ultimate STEAM education platform, Hiwonder MaxArm offers a complete toolkit to bridge theory and practice in coding, robotics, and AI for all learning levels.

【Multi-Control Flexibility】 Command your programming robotic arm with unparalleled flexibility. Choose from a dedicated mobile app, PC software, a wireless gamepad, or even mouse control for precise operation.