Robust crawler robot tank designed for development, testing, and field use. Built from green aluminum alloy oxide for a lightweight but durable chassis, this platform combines reliable mobility with advanced sensing and flexible control options. Key benefits Durable mobile base for real environments: Crawler tracks and a corrosionresistant aluminum alloy oxide body provide stable traction on uneven surfaces while keeping the platform lightweight. Precise mapping and perception: Integrated SLAM lidar plus HD and depth cameras enable accurate realtime mapping, obstacle detection, and depth sensing for autonomous navigation and inspection tasks. Ready for robotics development: Native support for Python and ROS with toolboxes such as Rviz, MoveIt, and Qt lets teams simulate, plan, and control robotic arms and manipulators in realistic environments. Flexible control and prototyping: Multiple control modes include a mobile app, handheld controller for FPV operation, and online programming via JupyterLab for rapid development and testing. performance and expandability: torque gear motors deliver strong drive force for payloads, and a dedicated robot expansion board provides interfaces for sensors, actuators, and custom electronics. What makes it stand out Integrated hardware and software workflow reduces setup time for research and prototyping. Depth and HD imaging combined with SLAM lidar give robust perception for navigation and manipulation tasks. Crossplatform control and cloudready programming support collaboration between developers, researchers, and educators. Technical highlights Chassis material: green aluminum alloy oxide for strength and light weight Locomotion: tracked crawler design with torque gear motors Sensing: SLAM lidar, HD camera, depth camera Control electronics: robot expansion board with multiple I O options Software: Python and ROS compatible, supports Rviz, MoveIt, and Qt toolboxes Control methods: mobile app, handheld controller for FPV, JupyterLab online programming Practical use scenarios Indoor mapping and facility inspection: Run SLAMbased mapping to create floorplans, inspect hardtoreach areas with HD and depth cameras, and review results through Rviz. Robotic arm research and automation: Use ROS and MoveIt for motion planning and simulation, then deploy realworld arm control via the platform for pick and place or manipulation experiments. Field prototyping and remote operation: Test autonomous navigation outdoors, operate via FPV handheld controller for live teleoperation, and extend functionality with additional sensors through the expansion board. Who this is for Robotics researchers and developers seeking a fieldready base with strong sensor and software support. Educators and labs teaching SLAM, perception, and ROSbased control workflows. Prototype engineers needing a configurable platform for autonomous navigation and manipulation testing. Compatibility and integration Works with standard ROS toolchains and Python development environments. Supports visualization and motion planning with Rviz and MoveIt, and UI development with Qt. Online programming supported via JupyterLab for collaborative development and testing. This robot tank platform delivers a balanced combination of durable hardware, advanced sensing, and software compatibility to accelerate development, testing, and teaching in robotics projects.