Product overview A modular robot tank kit that combines onboard AI vision, a LiDAR distance sensor, and Python programmability to help you develop autonomous navigation, object detection, and mapping projects. The kit is designed for handson learning and rapid prototyping for hobbyists, educators, and developers. Key benefits Accelerates learning and development: integrated vision and LiDAR let you experiment with perception, sensor fusion, and control algorithms without sourcing parts separately. Reduces integration time: predesigned chassis and modular wiring simplify assembly so you can focus on software and experiments. Enables practical autonomy: LiDAR supports reliable obstacle detection and mapping while AI vision enables object recognition and tracking for real tasks. Flexible for development: Python programming support and open interfaces let you reuse standard libraries and shareable code, lowering the barrier to entry for developers. Primary functions and features AI vision: onboard camera supports image capture and realtime computer vision tasks such as object detection, line following, and visual tracking when paired with Python vision libraries. LiDAR sensing: range data for obstacle detection, localization, and 2D mapping to support autonomous navigation and path planning. Tank chassis: tracked mobility provides stable movement on varied indoor surfaces and simple skid steering control for precise maneuvers. Programmability: designed for development in Python to run algorithms, data logging, and remote commands using common interfaces. Modularity: kit format includes the core mechanical, sensor, and control modules so users can or expand hardware and software as needs evolve. Compatibility and integration Designed to work with common single board computers and microcontrollers through standard digital and serial interfaces; supports integration with Python libraries for perception and robotics. Software and hardware interfaces are modular to accommodate additional sensors, actuators, and communication modules. Materials, size, and performance characteristics Constructed from durable mechanical components and electronic modules suitable for educational and prototyping environments. Compact footprint and tracked design provide a balance between maneuverability and stability for indoor testing. Performance targets include realtime vision processing and reliable shortrange LiDAR sensing for obstacle avoidance and mapping. Actual performance depends on the onboard computer and software configuration used. What makes it stand out Combines vision and LiDAR in a single, readytoassemble tank platform to simplify experiments in perception and autonomy. Pythonfirst approach makes it accessible to learners and accelerates prototyping for developers who rely on existing opensource tools. Modular kit structure supports iterative upgrades and classroom reuse without needing a complete redesign. Practical use scenarios Robotics education: students assemble the kit, run guided Python tutorials for vision and LiDAR, and complete projects that demonstrate mapping, navigation, and object recognition. Prototype autonomous inspection: use LiDAR for obstacle mapping and the camera for visual verification to test route planning and automated inspection routines in indoor environments. Research and development: rapid prototyping of sensor fusion, SLAM, or behavior algorithms by combining realworld sensor data with Pythonbased libraries and visualization tools. What you get A modular robot tank kit that integrates AI vision, LiDAR sensing, tracked mobility, and Pythonfriendly control interfaces for education, prototyping, and development.