AI Vision Robot Tank Kit Overview A handson robotics kit built for learning and development in Python and ROS. The kit combines robust hardware with software compatibility to help hobbyists, students, and professionals prototype visionbased navigation, mapping, and robotic arm control. Key benefits Learn by doing: Full kit designed for practical Python programming and ROS workflows, accelerating skill development in robotics and automation. Advanced perception and navigation: SLAM lidar plus HD and depth cameras enable mapping, obstacle detection, and depthaware vision tasks. Sturdy mobile base: Crawler chassis made from green aluminum alloy oxide provides durability, stability, and allterrain versatility for indoor testing. mobility and torque: torque gear motors deliver reliable drive performance for precise movement and payload handling. Extendable control platform: Powerful robot expansion board supports sensors, actuators, and custom modules for project expansion. Crossplatform development and control: Compatible with Rviz, MoveIt, and Qt toolboxes for visualization, motion planning, and interface development. Supports mobile app control, handheld controller FPV operation, and JupyterLab online programming. Features and specifications Chassis material: green aluminum alloy oxide crawler design for durability and lightweight handling. Sensors: SLAM lidar for realtime mapping; HD camera for visual capture; depth camera for 3D perception. Actuation: torque gear motors suitable for precise motion and loadbearing tasks. Control hardware: performance robot expansion board for I O and onboard processing. Software compatibility: Python and ROS based workflows, including support for Rviz, MoveIt, and Qt toolboxes. Development environments: Mobile app control, handheld controller for FPV operation, and JupyterLab for remote coding and testing. How this kit solves common problems Reduces setup time for learning robotics by combining hardware and softwarecompatible components in one kit. Enables realistic simulation and realworld testing with integrated SLAM and visualization tools, shortening development cycles. Allows scalable projects from simple remote control experiments to advanced autonomous navigation and robotic arm manipulation. Use scenarios Education and training: Classroom or workshop projects teaching ROS concepts, Python scripting, sensor fusion, and SLAM mapping in a single platform. Prototyping and research: Rapidly prototype navigation algorithms, object detection workflows, or manipulator control using MoveIt and Rviz for planning and simulation. Remote inspection and mapping: Deploy the crawler to capture FPV video and generate realtime 2D or 3D maps for indoor site surveys or confinedspace exploration. What you get A complete robot tank kit with chassis, SLAM lidar, HD and depth cameras, torque gear motors, and a powerful expansion board, ready for assembly and development with Python and ROS toolchains. Compatibility and requirements Designed for users working with Python and ROS ecosystems. Supports visualization and motion planning with Rviz and MoveIt, interface development with Qt toolboxes, and cloud or local coding via JupyterLab.