This tracked robot platform combines durable construction and advanced sensing to accelerate robotics development, testing, and field inspection. Key benefits Robust mobility and durability: A crawler chassis crafted from green aluminum alloy oxide delivers a sleek, corrosionresistant exterior and stable traction for varied surfaces. Precision mapping and perception: Integrated SLAM lidar plus HD and depth cameras enable accurate environment mapping, obstacle detection, and 3D perception for autonomous navigation. Strong actuation and expandability: torque gear motors provide reliable drive force for heavyduty maneuvers. A powerful onboard robot expansion board supports sensors, actuators, and custom peripherals. Ready for development and simulation: Native Python and ROS support with Rviz, MoveIt, and Qt toolboxes allows realistic simulation, robotic arm control, and rapid prototype testing. Flexible control options: Operate the robot from a mobile app, a handheld controller for FPV teleoperation, or JupyterLab for online programming and algorithm development. Technical highlights and compatibility Chassis material: green aluminum alloy oxide for a balance of strength and low weight. Sensing: SLAM lidar plus HD camera and depth camera for multimodal perception. Actuation: torque gear motors for dependable traction and payload handling. Electronics: powerful robot expansion board compatible with common ROS workflows and Python libraries. Software toolchains: supports ROS, Rviz, MoveIt, and Qt for visualization, motion planning, and GUI development. JupyterLab support for interactive coding and data analysis. Practical applications Autonomous mapping and inspection: Create detailed maps and navigate complex indoor or outdoor sites for site surveying or inventory checks. Teleoperation and FPV inspection: Use the mobile app or handheld controller to inspect confined or hazardous areas remotely with live video and depth feedback. Research and education: Develop and test motion planning, SLAM algorithms, and robotic arm manipulation in simulated and real environments using ROS and Python. What makes it stand out This platform pairs a rugged, lightweight aluminum alloy chassis with industrialgrade sensors and motors, while providing an extensible electronics and software environment for both handson teleoperation and advanced algorithm development.