Robot tank crawler engineered for reliable field testing and development Key benefits Accurate mapping and navigation for research and inspection thanks to built in SLAM lidar and depth sensing Durable, lightweight chassis made from green aluminum alloy oxide for repeated use and easy handling Fast integration with Python and ROS for rapid prototyping, simulation, and real world testing Multiple control options to suit different workflows: mobile app control, handle control for FPV, or online programming in JupyterLab What makes this product stand out Robust crawler design provides stable traction on uneven surfaces while keeping a compact footprint Complete sensor suite including SLAM lidar plus HD and depth cameras enables both precise localization and rich environmental perception torque gear motors deliver dependable drive power for payloads and extended maneuvering Included Yaboom robot expansion board provides a flexible hardware interface for custom peripherals and sensors Core features Material and build: green aluminum alloy oxide chassis that balances strength and weight Sensors: SLAM lidar, HD camera, depth camera for 3D perception and mapping Motion: torque gear motors optimized for reliable tracked locomotion Control and integration: Python and ROS support with Rviz, MoveIt, and Qt toolboxes for robotic arm control and realistic simulation Cross platform control: mobile app, handle based FPV control, and JupyterLab online programming interface Practical use scenarios Indoor mapping and inspection: create detailed maps of warehouses, labs, or facilities while streaming HD and depth video for remote review Education and research: teach ROS and Python based robotics workflows using real hardware and simulation tools such as Rviz and MoveIt Development and prototyping: test robotic arm manipulation and perception pipelines using the Yaboom expansion board and Qt toolboxes before deploying to field units Why this platform solves common problems Reduces integration time by offering out of the box compatibility with ROS and Python tools commonly used in robotics Improves development and testing efficiency with both simulation toolchains and direct hardware control options Provides a versatile physical base for perception driven applications due to its combination of lidar, cameras, and strong drive motors Compatibility and expansion Works with standard ROS and Python toolchains, Rviz, MoveIt, and Qt toolboxes Expansion via the Yaboom robot expansion board for custom sensors and actuators Multiple control interfaces to match lab, field, and remote programming workflows This robot tank crawler is intended for robotics developers, educators, and researchers who need a compact, sensor rich, and ROS compatible platform for mapping, perception, and manipulation experiments.