This robot tank is a durable, developmentready mobile platform designed for mapping, perception, and remote operation. Its rugged crawler chassis and modular hardware make it suitable for research, inspection, education, and field testing where reliable mobility and flexible integration are required. Key benefits Robust mobility and protection: Crawler design on a lowcenter tank chassis gives stable performance on uneven terrain while protecting onboard sensors and electronics. Precision sensing and mapping: SLAM lidar plus HD and depth cameras deliver accurate mapping, obstacle detection, and depth perception for autonomy and navigation tasks. Ready for development and simulation: Native Python and ROS support with Rviz, MoveIt, and Qt toolboxes enables realistic simulation, robotic arm control, and fast algorithm testing. Flexible control options: Use the mobile app for remote control, a handheld controller for firstpersonview operation, or JupyterLab for cloud or local programming and experiments. Expandable and performance: torque gear motors provide reliable drive force and a powerful robot expansion board supports additional sensors, actuators, and custom modules. What makes it stand out Construction: Crafted with green aluminum alloy oxide for a lightweight but rigid body that resists wear in the field. Sensor suite: Integrated SLAM lidar with synchronized HD and depth cameras for multimodal perception and improved environmental understanding. Motor and drive: torque gear motors tuned for crawler dynamics to deliver smooth, controllable movement and payload capacity for added modules. Expansion ready: A powerful robot expansion board provides ample interfaces for additional sensors, manipulators, and communication modules. Software ecosystem: Full Python and ROS compatibility, plus support for Rviz, MoveIt, and Qt toolboxes for visualization, motion planning, and GUI development. Typical applications Autonomous mapping and inspection: Create detailed maps of warehouses, construction sites, or complex indoor environments while inspecting hardtoreach areas. Research and prototyping: Ideal for robotics labs and developers building navigation, SLAM, manipulation, or perception algorithms with fast integration into ROS and JupyterLab workflows. Remote surveillance and exploration: Operate via mobile app or FPV controller to inspect outdoor terrain, search areas, or testing ranges where rugged mobility and depth sensing are required. Technical focus areas Function: Mobile autonomy, mapping, remote operation, and robotic arm control in simulated and realworld environments. Compatibility: Works with Python, ROS toolchain, Rviz, MoveIt, Qt toolboxes, and JupyterLab for programming and simulation. Material and finish: Green aluminum alloy oxide body for durability and a professional finish. Performance: SLAM lidar and multicamera perception combined with torque motors and an expansion board for responsive control and extensibility. This platform is designed for teams and users who need a robust, extendable robotic base that integrates easily into existing ROS and Python development workflows while providing reliable field performance.