A versatile crawler robot platform engineered for development, research, and remote inspection. Built from green aluminum alloy oxide, this tankstyle chassis combines durable materials with modular hardware and modern ROS and Python support to accelerate prototyping and realworld testing. Key benefits Readytouse perception and navigation: SLAM lidar with HD and depth cameras enables reliable mapping, obstacle detection, and situational awareness out of the box. mobility and payload capability: torque gear motors provide stable motion and support added sensors or manipulators without compromising control. Rapid development and simulation: Native Python and ROS support with Rviz, Movelt, and Qt toolboxes allows you to control robotic arms, simulate environments, and validate algorithms before deployment. Flexible control options: Operate the platform from a mobile app, use a handheld controller for FPV driving, or program and test remotely through JupyterLab. Core features Chassis material: Green aluminum alloy oxide for a lightweight, corrosionresistant exterior. Sensing: SLAM lidar paired with HD and depth cameras for 3D perception, mapping, and obstacle avoidance. Actuation: torque gear motors for precise, reliable movement over varied surfaces. Expansion: Powerful robot expansion board to connect additional sensors, actuators, and peripherals. Software: Full Python and ROS integration with support for Rviz, Movelt, and Qt toolboxes for visualization, motion planning, and GUI development. Control interfaces: Mobile application control, handle controller support for FPV operation, and JupyterLab for interactive programming and data analysis. Practical applications Indoor mapping and inspection: Create detailed maps of warehouses, labs, or facilities, then inspect hardtoreach areas using HD and depth camera feeds. Robotics research and education: Use the platform to teach ROS workflows, test motion planning with robotic arms, and prototype algorithms in simulated and physical environments. Remote monitoring and exploration: Deploy for FPV exploration of constrained spaces, remote data collection, and field testing of perception stacks. Why this platform stands out Integrates advanced sensors and robust actuation in a compact crawler form factor for practical field use and lab testing. Designed for developers and researchers who need a configurable base with seamless ROS and Python toolchain support. Multiple control modes let teams choose the workflow for development, demonstration, or remote operation. Compatibility and setup Works with standard ROS toolchains and Python development environments. Control via mobile app, handheld controller, or JupyterLab for flexible integration into existing workflows. This crawler robot platform is aimed at teams and individuals looking for a durable, extensible base to develop navigation, perception, and manipulation capabilities without rebuilding lowlevel hardware.