Raspberry Pi

【AI-Driven and Raspberry Pi-Powered】ArmPi Ultra is a high-performance 3D vision robot arm developed for ROS education scenarios. It is equipped with a Raspberry Pi as the main controller and is compatible with ROS2. With Python and deep learning frameworks integrated, ArmPi Ultra is ideal for developing sophisticated AI projects.

【High-Performance AI Robotics】 ArmPi Ultra features six intelligent serial bus servos with a torque of 25KG. The robot is equipped with a 3D depth camera, a WonderEcho AI voice box, and integrates 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】ArmPi Ultra 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 scenes and other AI projects.

【AI Embodied Intelligence, Human-Robot Interaction】ArmPi Ultra leverages Multimodal Large AI Models to create an interactive system centered around ChatGPT. Paired with its 3D vision capabilities, ArmPi Ultra 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 ArmPi Ultra, you will master a broad range of cutting-edge technologies, including ROS development, 3D depth vision, OpenCV, YOLOv8, MediaPipe, Large AI models, robotic inverse kinematics, MoveIt, Gazebo simulation, and voice interaction. We provide learning materials and video tutorials to guide you step by step, ensuring you can confidently develop your AI-powered robotic arm.

【3D Structured Light & High-Performance ASIC Depth Processor】 The Aurora930Pro utilizes structured light 3D imaging technology combined with a dedicated ASIC depth processing chip to deliver highly accurate depth maps within a range of 0.3 to 3 meters. It performs reliably in challenging environments such as bright light, backlighting, low light, and even semi-transparent surfaces.

【74° HFOV Wide-Angle Lens & High-Resolution Imaging】 Equipped with a 74° horizontal field of view (HFOV) lens and a high-resolution image sensor paired with an advanced ISP image processor, the Aurora930Pro captures sharp, detailed color images and depth data.

【Multimodal Perception & Scene Reconstruction】 The camera supports the output of various types of visual data—including point clouds, textures, color, motion, and timestamps—enabling rich multimodal perception. It is also compatible with mainstream 3D vision frameworks such as VSLAM for scene reconstruction.

【Compact, Lightweight Design & Low Power Consumption】 Integrating depth processing and image processing into a single compact module, the Aurora930Pro consumes less than 1.6W of power. The aluminum alloy housing ensures a lightweight yet robust build, with a compact form factor and standard mounting holes for easy installation.

【Comprehensive SDKs & Educational Resources】 The device comes with a complete software development kit (SDK), source code for ROS1 and ROS2, ready-to-use robot application examples, and a wealth of professional educational materials. It supports multiple platforms including Linux, Ubuntu, Windows, and programming languages such as C and Python.

【Raspberry Pi 5 & ROS2 Robot Car】 MentorPi 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】 Supports both Mecanum-wheel, Tank and Ackermann chassis, allowing flexibility for various applications and meeting diverse user needs.

【High-Performance Hardware】 Equipped with closed-loop encoder motors, TOF lidar, 3D depth camera, high-torque servos, and other advanced components to ensure optimal performance and efficiency.

【Advanced AI Capabilities】 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 YOLOv5 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】 MentorPi deploys multimodal models with ChatGPT at its core, integrating 3D vision 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.

【One-Click Intelligent Calibration】 Automatically adapt to different track lines and maps and shorten preparation and development time for projects.

【Multi-Interface Communication】 Equipped with multiple communication interfaces, compatible with most controllers.

【Dual Digital & Analog Output】 Capture and process sensor data in real-time, providing both digital and analog outputs to suit a wide range of applications.

【Industrial-Grade Infrared Sensors】 Features an 8-channel high-sensitivity infrared sensor array capable of accurately detecting challenging line patterns.

【Comprehensive Tutorials】 Detailed tutorials and technical documentation are provided for the full development process.

【Raspberry Pi 5 & ROS2 Robot Car】 MentorPi 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】 Supports both Mecanum-wheel and Ackermann chassis, allowing flexibility for various applications and meeting diverse user needs.

【High-Performance Hardware】 Equipped with closed-loop encoder motors, TOF lidar, 3D depth camera, high-torque servos, and other advanced components to ensure optimal performance and efficiency.

【Advanced AI Capabilities】 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 YOLOv5 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】 MentorPi deploys multimodal models with ChatGPT at its core, integrating 3D vision 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.

【Raspberry Pi 5 & ROS2 Robot Car】 MentorPi 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】 Supports both Mecanum-wheel and Ackermann chassis, allowing flexibility for various applications and meeting diverse user needs.

【High-Performance Hardware】 Equipped with closed-loop encoder motors, TOF lidar, 3D depth camera, high-torque servos, and other advanced components to ensure optimal performance and efficiency.

【Advanced AI Capabilities】 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 YOLOv5 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】 MentorPi deploys multimodal models with ChatGPT at its core, integrating 3D vision 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.