AI Vision Robot Tank Kit Unlock handson robotics and Python programming with a complete, ready to build kit designed for hobbyists, educators, and engineers. This kit combines robust hardware, vision and mapping sensors, and full software integration so you can learn, prototype, and deploy real robotics projects. Key benefits Learn and apply Python and ROS workflows in real hardware for practical skills that transfer to research and industry. Build reliable mobile robotics projects using quality materials and components that support repeatable testing and development. Control and program the robot from multiple environments for flexible use in classrooms, labs, and field testing. What it includes Robust crawler chassis: green aluminum alloy oxide construction for durability and a professional finish. SLAM lidar: enables simultaneous localization and mapping for autonomous navigation and environment mapping. Vision suite: HD camera plus depth camera for object detection, stereo vision experiments, and perception tasks. torque gear motors: provide reliable drive performance for crawling, obstacle negotiation, and payload handling. Powerful robot expansion board: supports sensors, actuators, and peripheral integration for advanced projects. Software and tools: Python and ROS integration with Rviz, Movelt, and Qt toolboxes for robotic arm control and realworld simulation. Crossplatform control: mobile app control, handle control for FPV style operation, and JupyterLab online programming for interactive development. Features and performance Modular design supports sensor and actuator expansion for custom experiments and upgrades. Realtime SLAM and depth sensing enable autonomous mapping, obstacle avoidance, and navigation tasks. Compatible with common ROS nodes and Python libraries so you can use standard toolchains and community packages. Multiple control modes let you switch between teleoperation, programmatic control, and simulation for flexible testing and demonstrations. Use scenarios Classroom lab: Students learn Python coding, ROS concepts, and perception by building a mapping and navigation project using SLAM lidar and depth camera data. Research and prototyping: Rapidly test navigation algorithms, perception models, and robotic arm motions using Rviz, Movelt, and Qt simulation toolchains before hardware deployment. Remote inspection or FPV exploration: Operate the tracked robot via mobile app or handle controller for realtime video streaming and maneuvering in confined or rough environments. Who this is for Hobbyists seeking a capable, expandable robotics platform for learning and experimentation. Educators building handson curriculum around coding, robotics, and computer vision. Engineers and researchers prototyping mobile robotics solutions that require SLAM, depth perception, and ROS compatibility. Compatibility and integration Designed for Pythonbased development and ROS workflows with support for Rviz, Movelt, and Qt toolboxes. Works with JupyterLab for interactive coding and testing, and supports standard ROS nodes and Python libraries for seamless integration with existing projects. What you get A full robot tank kit with chassis, motors, SLAM lidar, HD and depth cameras, expansion board, and software integration to start building immediately. Documentation and examples to help you set up control modes, connect to JupyterLab, and begin mapping, perception, and manipulation experiments. The AI Vision Robot Tank Kit provides a practical, expandable platform for learning, teaching, and prototyping mobile robotics using vision, SLAM, and standard Python and ROS toolchains.