AI Vision Robot Tank Kit is a modular robotics platform for handson learning, development, and prototyping in Python and ROS. Built to bridge classroom learning and realworld applications, the kit combines durable hardware, advanced sensors, and flexible control options to accelerate skills in perception, navigation, and manipulation. Key benefits Learn practical skills: Designed for Python and ROS workflows, the kit supports Rviz, MoveIt, and Qt toolboxes for simulation and robotic arm control. Real sensing and mapping: Integrated SLAM lidar plus HD and depth cameras enable accurate mapping, obstacle detection, and visionbased tasks. Durable, mobile platform: A crawler chassis made from green aluminum alloy oxide offers a stable base and corrosionresistant finish for repeated testing. Flexible control and development: Operate the robot via a mobile app, handheld controller for FPV teleoperation, or JupyterLab for interactive online programming. Rapid prototyping and integration: torque gear motors and a performance robot expansion board provide reliable actuation and easy connections for sensors and peripherals. Main features Chassis and material: Robust crawler design using green aluminum alloy oxide for strength and longterm durability. Mobility and power: torque gear motors deliver precise drive control and smooth traversal over varied indoor surfaces. Sensing suite: SLAM lidar for mapping and localization, plus HD and depth cameras for stereo vision and object perception. Control electronics: Powerful robot expansion board for sensor fusion, motor control, and software integration with Python and ROS. Software and simulation: Native support for Rviz, MoveIt, and Qt toolboxes to enable planning, visualization, and simulated testing before deployment. Control modes: Mobile application control, handle controller for first person view operation, and JupyterLab for interactive coding and experiments. Compatibility: Compatible with standard ROS distributions and Python development environments for seamless integration into existing projects. Performance and suitability Accurate mapping and navigation for indoor environments using SLAM and depth sensing. Stable platform for vision tasks and payloads such as small manipulators or additional sensors. Sufficient torque and control resolution to support experimentation with autonomous behaviors and teleoperation. Practical applications Educational labs and workshops: Teach Python programming, ROS fundamentals, perception, and motion planning with a single integrated platform. Autonomous mapping and inspection: Create indoor maps, test obstacle avoidance, and prototype patrol or inspection routines using SLAM and FPV teleoperation. Visionguided manipulation development: Use Rviz and MoveIt to design and simulate robotic arm motions, then validate control on the physical robot using the expansion board and cameras. Who it is for Hobbyists, students, and professionals who need a handson, extensible robotics platform for learning, prototyping, and demonstration. Developers and researchers who require a compatible ROS and Python environment with real sensor data for testing algorithms. The AI Vision Robot Tank Kit delivers a practical combination of durable hardware, advanced sensors, and software compatibility to support learning and rapid prototyping in robotics.