Product overview A durable crawler robot designed for development, research, and field testing. Built from green aluminum alloy oxide, this robot tank combines robust construction with precision sensing and flexible control options to support mapping, manipulation, and autonomous navigation tasks. Key benefits Reliable platform for development: Strong aluminum alloy oxide chassis provides corrosion resistance and stable mounting for sensors and payloads. Accurate perception and navigation: SLAM lidar and HD and depth cameras enable realtime mapping, obstacle detection, and depth awareness for indoor and outdoor environments. Powerful motion and control: torque gear motors deliver dependable tracked mobility and stable traction on varied surfaces. Expandable compute and I O: A performance robot expansion board provides interfaces for sensors, actuators, and custom modules, simplifying system integration. Flexible programming and simulation: Python and ROS compatibility with Rviz, Movelt, and Qt toolboxes supports robotic arm control, motion planning, and realistic simulation before deployment. Multiple control modes: Operate the robot via mobile app, handle control for firstperson view effects, or program remotely through JupyterLab online, catering to both handson and research workflows. Features and specifications Construction: Green aluminum alloy oxide body for a lowprofile, durable chassis. Sensing: SLAM lidar for mapping and localization; HD camera for visual capture; depth camera for 3D perception. Actuation: torque gear motors paired with tracked crawler drive for stable movement and payload handling. Electronics: Integrated robot expansion board offering power management, sensor interfaces, and motor control. Software compatibility: Native support for Python and ROS toolchains, plus Rviz, Movelt, and Qt toolboxes for visualization, planning, and interface development. Control options: Mobile app, handle controller for FPV operation, and JupyterLab for online programming and experiments. Practical applications Research and education: Use as a handson platform for teaching SLAM, computer vision, and motion planning with ROS and Python. Inspection and mapping: Deploy for indoor site surveys, asset inspection, or 3D mapping in cluttered environments where tracked mobility is advantageous. Manipulation and prototyping: Integrate a robotic arm and use Movelt and Rviz to simulate and execute pick and place, grasping, and testing workflows. Why choose this robot This crawler is designed for users who need a durable, sensorrich platform that integrates with standard robotics tools and workflows. It reduces time spent on hardware integration and lets teams focus on perception, planning, and application development across laboratory, classroom, and field settings.