AI vision robot tank kit with LIDAR and Python programming. Available in black or green. Key benefits Integrated sensing and control: combines camerabased AI vision and LIDAR sensing to enable reliable obstacle detection, mapping, and autonomous navigation. Handson learning and rapid prototyping: kit format plus Python programmability makes it easy to develop, test, and iterate algorithms without complex hardware setup. Flexible platform for many projects: a stable tank chassis designed for experimentation and extension through software and additional sensors. What this product does Performs realtime computer vision tasks such as object detection and tracking using the onboard camera. Uses LIDAR for distance measurement and environment scanning to improve obstacle avoidance and mapping accuracy. Allows full control and through Python, supporting development of custom behaviors, data logging, and algorithm experiments. Important attributes Function: AI vision, LIDAR sensing, autonomous navigation, and programmable control. Compatibility: Programmable with Python and designed to work with standard Python development environments and common sensor drivers. Form factor: Kitbased tank platform suitable for desktop, classroom, and lab use. Build: Constructed from components selected for assembly and experimentation; chassis provides a stable base for sensors and attachments. Performance: Combines camera and LIDAR data for improved situational awareness and responsive movement control in typical indoor and controlled outdoor settings. Why customers need it Accelerates learning by combining practical hardware assembly with software development in a single package. Reduces integration friction by providing a ready platform for vision and LIDAR experiments. Supports research and development tasks where sensor fusion and autonomous behaviors need to be evaluated quickly. Practical applications Education and training: Teach robotics, perception, and AI concepts in classrooms and workshops with handson assembly and Python coding exercises. Prototyping and development: Test navigation algorithms, sensor fusion approaches, and mapping techniques before scaling to larger systems. Hobby and competition projects: Build custom autonomous missions, obstacle course challenges, or data collection rigs for maker and robotics competitions. Who it is for Students and educators looking for a practical robotics learning platform. Developers and researchers prototyping perception and navigation systems. Hobbyists and makers who want a programmable tank platform with integrated vision and LIDAR. What to expect A buildable robot tank kit that brings together camerabased AI vision and LIDAR sensing with Python programmability. An extendable platform suitable for coding exercises, algorithm testing, and practical robotics projects. This kit offers a practical, programmable platform for anyone developing or learning about AI vision and LIDARbased navigation without requiring proprietary tools or complex integration.