Product overview A rugged crawler robot tank built with green aluminum alloy oxide for durability and lightweight handling. Designed for developers, researchers, and field operators who need precise mapping, reliable locomotion, and flexible control and programming options. Key benefits Durable and versatile construction: green aluminum alloy oxide body provides corrosion resistance and a professional appearance while keeping weight low for responsive movement. Accurate perception and mapping: integrated SLAM lidar plus HD and depth cameras enable reliable environment mapping, obstacle detection, and depth awareness for navigation and scene analysis. Strong mobility and payload handling: torque gear motors deliver steady traction and smooth crawler motion across uneven surfaces. Ready for development and simulation: Python and ROS integration with Rviz, Movelt, and Qt toolboxes supports realworld simulation, robotic arm control, and rapid algorithm testing. Multiple control methods: operate the robot from a mobile app for quick deployment, use handle control for first person view effects, or program online through JupyterLab for advanced workflows. Expandable electronics: includes a powerful Yaboom robot expansion board to simplify sensor and actuator integration and accelerate prototyping. Features at a glance Material: green aluminum alloy oxide chassis and body Perception: SLAM lidar, HD camera, and depth camera Drive: torque gear motors for reliable crawler movement Control electronics: Yaboom robot expansion board Software and tools: Python, ROS, Rviz, Movelt, Qt toolboxes, JupyterLab support Control options: mobile app, handle control for FPV, JupyterLab online programming How this product solves common problems Reduces setup time for research and prototyping by providing integrated sensors and an expansion board that work with standard ROS workflows. Improves navigation accuracy in cluttered or dim environments through combined lidar and depth sensing. Simplifies testing and demonstration by offering both easy mobile control and full programmatic access for complex behaviors. Supports iterative development with simulation tools and realworld testing using the same ROS and Python toolchain. Practical applications Robotics research and education: Use the platform to teach mapping, perception, and manipulation, or to validate algorithms in both simulation and hardware. Remote inspection and monitoring: Navigate confined or uneven spaces to capture HD and depth imagery for site surveys, condition checks, or data collection. Prototype development and automation testing: Integrate custom sensors or payloads via the expansion board, test control sequences in Rviz and Movelt, then deploy to the physical platform for field trials. What you can expect A compact, developerfriendly crawler that combines robust mechanical design with a modern sensor suite and broad software compatibility. The platform supports handson control for demonstrations and full programming access for research and product development.