A durable, flexible crawler platform designed for development, research, and remote operations. The green aluminum alloy oxide chassis provides a lightweight, corrosionresistant body and a low center of gravity for stable traversal. Integrated sensors and a powerful expansion board deliver readytouse perception, navigation, and manipulation capabilities. Key benefits Readytodeploy autonomy: Builtin SLAM LiDAR and HD plus depth cameras enable realtime mapping, obstacle avoidance, and reliable environment perception without extensive hardware integration. Robust mobility and load handling: torque gear motors and a crawler drive provide strong traction on uneven terrain and precise lowspeed control for inspection and manipulation tasks. Fullstack software compatibility: Native support for Python and ROS with Rviz, MoveIt, and Qt toolboxes simplifies development, simulation, and robotic arm control. Flexible control options: Operate the robot from a mobile app, a handheld controller for FPV navigation, or through JupyterLab for online programming and experiment reproducibility. Expandable I O and control: Equipped with a Yaboom robot expansion board to power sensors, cameras, and actuators while enabling custom extensions and rapid prototyping. Features and technical highlights Chassis: Green aluminum alloy oxide finish for durability and a professional appearance. Navigation sensors: SLAM LiDAR for 2D/3D mapping and localization. Vision: HD camera for video and streaming plus depth camera for perception and obstacle detection. Drive system: torque gear motors matched to the crawler mechanism for torque, stability, and fine speed control. Controller and expansion: Integrated Yaboom robot expansion board for sensor management, motor control, and interface to ROS and Python environments. Software toolchain: Compatible with ROS tooling including Rviz for visualization, MoveIt for motion planning and arm control, and Qt toolboxes for custom GUIs and simulation workflows. Practical applications Remote inspection and surveying: Navigate confined or uneven sites to gather visual and depth data for structural inspection, equipment monitoring, or site assessment. Lab and classroom robotics: Use the platform for handson learning, algorithm development, and validation with ROS, Python, Rviz, and MoveIt in simulated and realworld scenarios. Research and prototyping: Rapidly test autonomy, perception, and manipulation algorithms with accessible hardware, FPV streaming, and JupyterLabbased experiment control. Why choose this robot This crawler combines a durable aluminum alloy body with industrialgrade sensors and a flexible software ecosystem. It reduces hardware setup time, supports multiple control workflows, and scales easily from teaching and prototyping to field testing. The combination of SLAM LiDAR, depth sensing, torque motors, and the Yaboom expansion board makes it a practical tool for developers, researchers, and operators who need a reliable, adaptable mobile robot platform.