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【Raspberry Pi & ROS1/ROS2 Compatible】 PuppyPi is an AI vision robot dog built for education and development. Powered by a Raspberry Pi 5 and fully compatible with ROS1 and ROS2, it enables efficient AI computing and versatile robotics projects through Python. Complete source code and documentation included to help you build and customize your own intelligent robot dog.

【Multimodal AI & Enhanced Human Robot Interaction】 PuppyPi integrates a multimodal model, featuring ChatGPT at its core for advanced human-robot interaction. Enhanced with AI vision, it delivers improved 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 quadruped robot supports TOF Lidar and robotic arm expansion. It can perform 360° environmental scanning, SLAM navigation, and dynamic obstacle avoidance. Additionally, Hiwonder PuppyPi can precisely grasp objects, opening up opportunities for advanced AI applications.

【RPi AI Vision Robot】 MasterPi AI vision robot supports Python programming. It is built on a Mecanum-wheel chassis, high-quality metal gear servos and HD camera.

【Vision Robotic Arm】 MasterPi uses 5DOF robot arm and HD camera to delivers precise object localization and automated item picking.

【360° Omnidirectional Movement】 Advanced omnidirectional Mecanum wheels enable flexible 360° omnidirectional movement.

【App Remote Control】 Hiwonder MasterPi remote car offers real-time ultimate control over its motion, gripping, and transportation with a intuitive dedicated app.

【Extensive Tutorials】 MasterPi car has detailed guides on motion control, AI vision, PC software programming, OpenCV, and more. MasterPi Tutorial helps you build, code, and innovate with confidence.

【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.

【Omni-Directional Movement, FPOV】 The chassis is equipped with 4 high-performance encoder geared motors and 4 omni-directional mecanum wheels. ArmPi Pro can realize 360° movement. Combined with HD camera ending in robot arm, it can provide first person point of view.

【Powerful Control System】 RaspberryPi 4B/5 makes breakthrough in processor speed, multimedia performance, memory and connection. The combination of RaspberryPi 4B/5 and RaspberryPi expansion board significantly enhances ArmPi Pro's AI performance!

【AI Vision Recognition, Target Tracking】 ArmPi Pro takes OpenCV as image processing library and utilizes FPV camera to recognize and locate the target block so as to realize color sorting, target tracking, line following, and other AI games.

【APP Control, FPV Transmitted Image】 Android and iOS APP are available for robot remote control. Via the APP, you can control the robot in real time and switch various AI games just by one tap.

【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, Hiwonder JetAuto 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, JetAuto Al vision robot can capture point cloud images of the environment to achieve RTAB 3D mapping navigation.

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

【STEAM Education Tutorials】 JetAuto's structured curriculum provides 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, JetAuto 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.