STM32 Intelligent Robot Chassis | Ackermann Steering, Mecanum Omni Wheels or Tracked Structure | ROS Mobile Robot Platform for NVIDIA Jetson, Raspberry Pi and AI Robotics

This STM32 intelligent robot car chassis is a professional-grade mobile robotics development platform designed for ROS learning, autonomous driving research, AI robotics experiments, and advanced STEM education. The chassis features a fully modular mechanical structure and supports multiple drive configurations, including Ackermann steering, differential drive, Mecanum omni-directional wheels, and tracked chassis systems, allowing users to select the optimal motion model for their project requirements.

The chassis is engineered with direct compatibility for NVIDIA Jetson series boards (Nano, Xavier, Orin) as well as Raspberry Pi, enabling seamless integration of AI computing, computer vision, and ROS-based navigation systems. Dedicated mounting areas are reserved for upper-level controllers, depth cameras, LiDAR sensors, and additional perception modules, eliminating the need for structural modification during installation.

At the core of the system is an STM32 main control board, responsible for low-level motor control, encoder feedback processing, and real-time motion execution. The STM32 controller communicates reliably with external AI or ROS master boards via serial or expansion interfaces, forming a stable and scalable robot control architecture suitable for both teaching and research environments.

This robot chassis is designed with strong expandability in mind. If required, we can supply matching accessories, including LiDAR sensors, cameras, main control boards, and power modules. In addition, complete technical documentation, wiring references, and development materials can be provided to support fast deployment, system integration, and secondary development.

With its all-metal body, standardized mounting holes, and flexible expansion capability, this STM32 robot chassis serves as an ideal platform for ROS mobile robots, autonomous navigation projects, AI perception systems, and robotics curriculum development in universities, labs, and innovation centers.