Robust crawler robot tank designed for development, prototyping, and realworld testing Why this platform matters Accelerates robotics development by combining reliable hardware and open software support. Reduces integration time for SLAM, manipulation, and perception projects by providing readytouse sensors and controllers. Supports classroom teaching, research, and product prototyping with a durable, repeatable platform. Key benefits and how it solves problems Reliable chassis and build quality: The green aluminum alloy oxide body provides a lightweight, corrosionresistant frame that is both rugged and easy to mount sensors or manipulators on. Accurate mapping and navigation: Integrated SLAM lidar enables realtime mapping and localization, making autonomous navigation and path planning practical in indoor and structured outdoor environments. Enhanced perception: An HD camera plus a depth camera give both resolution video and depth sensing for obstacle avoidance, object detection, and 3D reconstruction tasks. Stable mobility and payload handling: torque gear motors deliver the traction and torque needed for smooth crawler movement and for carrying additional sensors or a small robotic arm. Expandable control and I O: A powerful robot expansion board provides processing and I O interfaces to connect sensors, servos, and peripherals without extra hardware design. Softwarefirst workflow: Native support for Python and Robot Operating System lets teams iterate quickly with familiar tools and libraries. Compatibility and software ecosystem ROS ready with visualization and planning tool integration: Supports Rviz and MoveIt for visualization, planning, and motion control. Qt toolboxes for custom GUIs and operator interfaces. JupyterLab online programming and debugging for interactive development and data analysis. Crossplatform remote control: Use the mobile app for field operation, connect a handheld controller for firstperson view driving, or run algorithms remotely through JupyterLab. Important attributes at a glance Function: Crawler robot tank for SLAM, perception, manipulation prototyping, and remote inspection. Material: Aluminum alloy oxide chassis in green finish for durability and a professional appearance. Sensors: SLAM lidar, HD camera, depth camera for rich perception. Actuation: torque gear motors for reliable mobility. Control hardware: Integrated robot expansion board for processing and peripheral integration. Software: Python and ROS compatible, integrates with Rviz, MoveIt, Qt, and JupyterLab. Control options: Mobile app, handheld controller with FPV capability, and online programming. Practical use scenarios Academic and training labs: Teach SLAM, computer vision, and robot manipulation using a fully integrated platform that runs ROS, Rviz, and MoveIt out of the box. Research and prototyping: Validate autonomous navigation algorithms and sensor fusion pipelines in realistic indoor environments using lidar and depth sensing. Inspection and remote observation: Perform routine visual and depthbased inspections in warehouses or test sites with FPV control and onboard HD video streaming. What makes it stand out Combination of industrialstyle chassis material and modular electronics designed specifically for developers and educators. Readytouse sensor suite plus open software integration reduces setup time and lets teams focus on algorithms and applications. Multiple control modes and online programming support make field testing and iterative development straightforward. If you need a compact, durable crawler platform for learning, developing, or testing autonomous and perception systems, this robot tank provides the hardware, sensors, and software compatibility to get projects moving quickly.