Notes: 1. Due to different light effects, the actual color may be slightly different from the picture. 2. Please allow 1-3cm error due to manual measurement.Robust, versatile robot tank built for development, testing, and field tasks Key benefits Durable mobility and compact form: Constructed with a green aluminum alloy oxide finish, the crawler chassis is lightweight, corrosion resistant, and designed for repeated field use. Accurate navigation and sensing: SLAM lidar plus HD and depth cameras provide reliable mapping, obstacle detection, and scene understanding for autonomous missions. Strong actuation and expandability: torque gear motors deliver dependable drive power, while a powerful robot expansion board supports additional sensors and peripherals for custom payloads. Flexible software and simulation: Native Python and ROS support with toolboxes such as Rviz, MoveIt, and Qt enables realistic simulation, robotic arm control, and integration into existing ROS workflows. Multiple control modes: Crossplatform operation via mobile app, handle control for firstperson view effects, or direct programming in JupyterLab for online development and testing. What it does and who it is for Function: Mobile crawler platform with advanced sensing and compute interfaces for autonomous navigation, remote inspection, and robotic arm control in simulated and real environments. Compatibility: Designed to integrate with standard ROS distributions and Python development environments, and to work with Rviz, MoveIt, Qt, and JupyterLab for visualization, motion planning, and coding. Materials and performance: Green aluminum alloy oxide chassis, SLAM lidar, HD camera, depth camera, torque gear motors, and an expansion board for additional modules provide a balance of durability, perception, and power. Practical use scenarios Indoor mapping and inspection: Use SLAM lidar and depth sensing to create detailed maps of warehouses, factories, or research labs and perform routine inspections while avoiding obstacles. Education and research: Deploy the platform in robotics courses or labs to teach ROSbased perception, motion planning with MoveIt, and Pythondriven control in a handson environment. Remote exploration and monitoring: Operate via mobile app or handle control for FPV observation of confined or hardtoreach areas, with the option to extend capabilities through additional sensors on the expansion board. Why choose this platform Engineered for developers and integrators who need a readytorun crawler with strong sensing, motor performance, and ROS compatibility. Streamlines the path from simulation to realworld testing by supporting common ROS toolchains and interactive programming environments. Designed to be extended and customized without major hardware changes, making it suitable for prototyping, education, and applied robotics projects.