NVIDIA Jetson

【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.

【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.

【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.

【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.

【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.

【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.