Yahboom ROSMASTER M3 Pro is a highly integrated intelligent robot platform designed for ROS education, scientific research, and AI application teaching. Equipped with Mecanum wheels, a pendulum suspension chassis, a 6DOF robotic arm, and a binocular structured-light depth camera, it offers omnidirectional movement, visual recognition, 3D grasping, and high-precision handling. Built on the ROS2 Humble system with dual TOF LiDAR, it supports stable SLAM mapping, autonomous navigation, LiDAR-based obstacle avoidance, and intelligent path planning, ensuring smooth and efficient robotic operation across complex environments.
At its core, the ROSMASTER M3 Pro deeply integrates advanced AI models, including speech recognition, natural language processing, voice command control, and multimodal interaction through text, image, and voice. It supports task planning, environmental perception, and dynamic feedback reasoning, making it a powerful, scalable platform for AI education, robotics research, and university-level development projects. This all-in-one solution accelerates innovations in robotics, SLAM algorithms, AI learning, and intelligent automation.
Top-Level Hardware Configuration
- Raspberry Pi 5, Jetson NANO B01, Jetson ORIN NANO SUPER, Jetson ORIN NX SUPER development boards, four main control boards to choose from.
- An aluminum chassis, 80mm Mecanum wheels, and a rear pendulum suspension structure enable easy navigation across varied terrains.
- In combination with a depth camera and a 6DOF robotic arm, enabling 3D grasping, precise handling, and MoveIt simulation. Four TOF ranging LiDARs front left and rear right provide 360° scanning, improving mapping and navigation accuracy.
Fully Integrates Intelligent Perception and Semantic Understanding
- Built-in speech recognition and natural language processing, combined with speakers, enable easy voice commands and Q&A interactions.
- Multimodal interaction capabilities, including text, image, and voice, allow real-time action adjustments based on environmental changes, supporting free dialogue interruptions and dynamic feedback reasoning.
- Integration of a large model and an extensible RAG knowledge system enhances task awareness and complex problem-solving capabilities.
A complete robotics platform for teaching and research
- Based on ROS2 Humble, compatible with a variety of robotics algorithms and AI course content.
- Integrated hardware and software, with comprehensive documentation and teaching resources, enabling efficient progress from beginner to scientific experiments.
- From AI and SLAM to visual recognition and robot control—widely applicable to university teaching, research projects, and development of robotics competition platforms.