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【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】 JetAcker 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】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, it can capture point cloud images of the environment to achieve RTAB 3D mapping navigation.

【Empowered by Large Al Model, 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.

【Comprehensive Learning Tutorials】 Through JetAcker'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.

【Raspberry Pi Powered & ROS1/ROS2】 PuppyPi is a high-performance AI vision robot dog designed for AI education. It is equipped with the Raspberry Pi 5 and fully supports both ROS1 and ROS2 environments. With Python programming, PuppyPi offers efficient AI computation and a wide range of robotic applications. We provide access to all source code and detailed documentation to help you create your own AI robot dog!

【AI Large Model Integration & Enhanced Human-Robot Interaction】 PuppyPi integrates a multimodal model, featuring ChatGPT at its core for advanced human-robot interaction. Combined with AI vision, it excels in perception, reasoning, and action, creating a more natural and flexible interaction experience!

【High-Torque Smart Servos & Inverse Kinematics】 PuppyPi is equipped with 8 high-torque stainless steel gear servos, offering faster response times and stable output. The robot's legs use a link structure design combined with inverse kinematics algorithms to enable coordinated multi-joint movement and precise motion control.

【AI Vision Recognition & Tracking】 PuppyPi features a high-definition camera that enables a variety of AI vision capabilities, including color recognition, target tracking, face detection, ball kicking, line following, and MediaPipe gesture control.

【Lidar & Robotic Arm Expansion】 PuppyPi supports TOF Lidar and robotic arm expansion. It can perform 360° environmental scanning, SLAM navigation, and dynamic obstacle avoidance. Additionally, it can precisely grasp objects, opening up opportunities for advanced AI applications.

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

【Enhanced Human-Robot Interaction Powered by AI】 JetArm leverages Multimodal Large AI 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 & Comprehensive Tutorials】 With JetArm, you will master a broad range of cutting-edge technologies, including ROS development, 3D depth vision, OpenCV, YOLOv8, 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.

【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.

【Al-Driven and Raspberry Pi Powered】 TonyPi Pro is a high-performance AI vision robot designed for AI education applications. It is powered by the Raspberry Pi 5, integrated with an OpenCV image processing library and robotic inverse kinematics algorithms. Offering open-source access, TonyPi Pro provides a flexible development environment that supports advanced AI robotics development.

【AI Large Model Integration for Enhanced Human-Machine Interaction】 TonyPi Pro incorporates a multimodal model, with ChatGPT at the core of its interaction system. Coupled with AI vision and voice interaction, TonyPi Pro excels in perception, reasoning, and action, enabling advanced embodied AI applications and delivering a seamless, intuitive human-machine interaction experience!

【High-Voltage Intelligent Bus Servos】 Equipped with 18 high-voltage intelligent bus servos, TonyPi Pro offers rapid response times and stable output, enabling precise multi-joint coordination and complex motion control. This ensures accurate humanoid postures and interactive movements to meet a variety of demands.

【Upgraded Hand-Eye Coordination & Dynamic Gait】 TonyPi Pro features enhanced open-close robotic hands and AI-powered vision, allowing it to grasp and transport objects with greater flexibility. Its advanced gait system supports a wider range of motion, enabling tasks like autonomous hurdle-crossing and stair climbing—ideal for exploring creative AI applications.

【Comprehensive Learning Resources】 TonyPi offers a rich array of educational content, including resources on robotic motion control, OpenCV, deep learning, MediaPipe, AI large models, voice interaction, and sensor applications. We provide extensive learning materials and video tutorials to guide you from foundational concepts to advanced practices, helping you develop your own AI humanoid robot.

【Al-Driven and Raspberry Pi Powered】 TonyPi is a high-performance AI vision robot designed for AI education applications. It is powered by the Raspberry Pi 5, integrated with an OpenCV image processing library and robotic inverse kinematics algorithms. Offering open-source access, TonyPi provides a flexible development environment that supports advanced AI robotics development.

【AI Large Model Integration for Enhanced Human-Machine Interaction】 TonyPi incorporates a multimodal model, with ChatGPT at the core of its interaction system. Coupled with AI vision and voice interaction, TonyPi excels in perception, reasoning, and action, enabling advanced embodied AI applications and delivering a seamless, intuitive human-machine interaction experience!

【High-Voltage Intelligent Bus Servos】Equipped with 16 high-voltage intelligent bus servos, TonyPi offers rapid response times and stable output, enabling precise multi-joint coordination and complex motion control. This ensures accurate humanoid postures and interactive movements to meet a variety of demands.

【AI Vision Recognition and Tracking】 TonyPi's 2DOF head is fitted with an HD camera that provides a wide field of view. It supports a range of AI vision capabilities, including color recognition, target tracking, ball kicking, line following, and MediaPipe-based motion control for interactive AI applications.

【Comprehensive Learning Resources】 TonyPi offers a rich array of educational content, including resources on robotic motion control, OpenCV, deep learning, MediaPipe, AI large models, voice interaction, and sensor applications. We provide extensive learning materials and video tutorials to guide you from foundational concepts to advanced practices, helping you develop your own AI humanoid robot.