A versatile, durable robot crawler designed for research, development, and field operations Key benefits Reliable allterrain platform: The crawler chassis and tracked design provide stable movement over uneven surfaces, making mapping and inspection tasks simpler and faster. Accurate sensing and navigation: SLAM lidar together with HD and depth cameras enable precise environment mapping and obstacle detection for autonomous missions. Ready for development and integration: Builtin support for Python and ROS with Rviz, Movelt, and Qt toolboxes lets developers prototype, simulate, and control robotic arms and navigation stacks without hardware changes. Flexible control options: Operate the robot from a mobile app, use a handheld controller for immersive FPV driving, or program remotely via JupyterLab for experiments and automation workflows. Robust construction and performance: Green aluminum alloy oxide body offers corrosion resistance and a professional appearance while torque gear motors supply the force needed for payloads and rough terrain. What it includes and why it matters SLAM lidar for autonomous localization and mapping, reducing manual path planning and improving mission repeatability. HD and depth cameras for visual perception, object detection, and 3D scene reconstruction. torque gear motors for dependable mobility and the ability to carry additional sensors or small payloads. A powerful robot expansion board for extended I O, sensor integration, and custom control projects. Compatibility with Python and ROS toolboxes such as Rviz, Movelt, and Qt for simulation, motion planning, and GUI development. Practical applications Indoor and outdoor mapping: Create accurate maps and perform periodic site surveys with automated SLAM routines and depth sensing. Research and education: Teach ROS, motion planning, and perception using an integrated platform that supports simulation and realworld testing. Remote inspection and monitoring: Use the mobile app and FPV handle control to inspect confined or hazardous areas while streaming HD video and depth data. Technical highlights Material: green aluminum alloy oxide chassis for durability and lightweight strength Sensors: SLAM lidar plus HD and depth cameras for comprehensive perception Actuation: torque gear motors for reliable traction and load capacity Control and expansion: powerful robot expansion board and support for Python, ROS, Rviz, Movelt, Qt, and JupyterLab This robot crawler is suited for developers, labs, and operators who need a compact, sensorrich platform that integrates smoothly with common robotics toolchains and supports multiple control workflows.