Robust crawler platform built for realworld robotics development and field testing. The green aluminum alloy oxide body provides lightweight durability and a low center of gravity for stable movement across uneven terrain, while the tankstyle crawler design delivers reliable traction and payload support. Key benefits Rapid development: Integrated hardware and software support shortens setup time so you can focus on experiments, mapping, or application development. Accurate perception and navigation: SLAM lidar plus HD and depth cameras enable precise mapping, obstacle detection, and environment awareness for autonomous tasks. Flexible control options: Choose a mobile app for quick remote operation, a handheld controller for FPV exploration, or JupyterLab for interactive Python programming and research workflows. Extensible and programmable: A powerful robot expansion board and support for Python and ROS make it easy to add sensors, actuators, or custom modules. Core features Chassis and material: Green aluminum alloy oxide construction for a balance of strength, heat dissipation, and weight. Sensors: SLAM lidar for mapping and localization, HD camera for visual observation, depth camera for 3D perception. Actuation: torque gear motors for reliable crawling, climb capability, and carrying auxiliary payloads. Control electronics: Onboard robot expansion board for sensor and actuator integration, realtime control, and peripheral expansion. Software integration: Full support for Python and ROS with Rviz, MoveIt, and Qt toolboxes for visualization, motion planning, and custom GUI development. Multiinterface control: Mobile app control, handheld controller for FPV operation, and cloud or local JupyterLab access for code development and testing. Practical applications Research and education: Use ROS toolchains and JupyterLab to teach autonomy, SLAM, and robot arm control in labs and classrooms. Inspection and exploration: Drive the crawler for remote visual and depth inspection of difficult or confined spaces while logging sensor data for analysis. Prototyping and automation: Rapidly integrate additional sensors or actuators on the expansion board to prototype automation tasks, manipulator control, or custom navigation behaviors. Compatibility and performance notes Software: Compatible with Python and ROS ecosystems; supports Rviz, MoveIt, and Qt toolboxes for simulation, visualization, and control. Expandability: Robot expansion board supports common sensor and actuator interfaces for easy . Operation: Designed as a platform for developers, researchers, and hobbyists who require a rugged, sensorrich crawler that is easy to program and extend. This platform delivers a durable, sensorequipped crawler with multiple control pathways and strong ROS and Python support, making it suitable for development, testing, and practical field tasks.