AI Vision Robot Tank Kit Explore robotics, computer vision, and Python programming with a handson, professionalgrade kit built for learning, development, and prototyping. This robot tank combines durable hardware, advanced sensors, and full software integration to accelerate skills in autonomous navigation, mapping, and robotic arm control. Key benefits Learn by doing: combines physical assembly and realworld testing with Python and ROS software workflows to teach practical robotics skills. Ready for research and projects: SLAMcapable navigation and depth sensing enable mapping, obstacle avoidance, and environment interaction without additional modules. Flexible control options: operate the robot from a mobile app, a handheld controller for FPV driving, or through online programming environments such as JupyterLab for development and automation. Durable and transportable: rugged crawler chassis built from green anodized aluminum alloy for stable offroad performance and longterm use. Expandable platform: powerful robot expansion board and torque gear motors support attachments, sensors, and a robotic arm for manipulation tasks. What it includes and how it performs Navigation and sensing: integrated SLAM lidar plus HD and depth cameras provide simultaneous localization and mapping, obstacle detection, and scene perception for advanced autonomy and computer vision projects. Motion and drive: torque gear motors with crawler tracks deliver reliable traction and smooth motion across varied surfaces. Control electronics: a capable expansion board manages sensors, motors, and peripherals while supporting Python programming and ROS integration. Software and simulation: compatible with ROS toolboxes including visualization, motion planning, and GUI toolkits for robotic arm control and simulation. Use Rviz, MoveIt, and Qt toolboxes for realworld simulation and visualization workflows. Development environments: supports JupyterLab and similar online programming environments for realtime coding, testing, and debugging. Compatibility and materials Chassis material: green anodized aluminum alloy for strength and corrosion resistance. Sensors: SLAM lidar, HD camera, depth camera for multimodal perception. Actuation: torque gear motors and crawler tracks for stable mobility. Software: Pythonready and ROScompatible; integrates with common ROS visualization and motion planning toolboxes and standard development environments. Practical use scenarios Education and training: university or classroom labs teaching Python programming, ROS fundamentals, SLAM, and robot manipulation through handson projects and experiments. Autonomous navigation prototyping: develop and test mapping, path planning, and obstacle avoidance algorithms for indoor and semistructured outdoor environments. Inspection and remote observation: use FPV control and HD depth cameras for remote inspections, site surveys, or monitoring tasks in confined or difficulttoreach areas. Robotic manipulation research: integrate a robotic arm or custom end effector to prototype pickandplace workflows, grasping strategies, and motion planning using ROS toolboxes. Why choose this kit Comprehensive hardware and software integration lets you move from assembly to advanced development quickly. Designed for scalability so you can add sensors, actuators, and software modules as projects grow. Clear support for Python and ROS workflows enables transfer of skills to industrial and research applications. This kit is intended for hobbyists, educators, and professionals who want a complete, expandable robotics platform for learning, research, and prototyping.