NVIDIA Jetson

【Support ROS1 and ROS2 configuration】JetRover is compatible with ROS1 and ROS2. The main control solution has been upgraded to support three 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 Robots Driven by AI】 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, enables YOLO model training.

【SLAM Development and Diverse Configuration】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.

【High-performance Vision Robot Arm】JetRover 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 first-person perspective for object grabbing tasks.

【Empowered by Large Al 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】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 at will.

【Driven by Al, powered by Jetson】 JetAuto is a high-performance educational robot developed for ROS learning scenarios. Equipped with Jetson Nano/Orin Nano/Orin NX controllers and compatible with both ROS1 and ROS2, it integrates deep learning frameworks with TensorRT acceleration, making it ideal for advanced Al applications such as SLAM and vision recognition.

【SLAM Development and Diverse Configuration】JetAuto 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, it can capture point cloud images of the environment to achieve RTAB 3D mapping navigation.

【Empowered by Large Al Model, Human-Robot Interaction Redefined】 JetAuto 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】 JetAuto provides multiple control methods, like WonderAi app (compatible with iOS and Android system), wireless handle and keyboard, allowing you to control the robot at will. By importing corresponding codes, you can command JetAuto to perform specific actions.

【Comprehensive Learning Tutorials】 Through JetAuto's structured curriculum, master cutting-edge technologies including ROS development, SLAM mapping and navigation, 3D depth vision, OpenCV, YOLOv8, 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.