Robotic Crawler Platform for Development, Mapping, and Remote Operation Overview A durable crawler chassis finished in green aluminum alloy oxide, designed for research, education, prototyping, and field work. The platform combines robust mobility, advanced sensing, and open software support to accelerate development and realworld testing. Key benefits Ready for mapping and navigation: Integrated SLAM lidar and depth and HD cameras provide accurate environment sensing for autonomous navigation and 3D perception. Durable and lightweight construction: Aluminum alloy oxide body offers a balance of strength and low weight for repeated use and transport. drive performance: torque gear motors deliver stable traction and reliable operation over uneven surfaces. Expandable control and I O: A powerful robot expansion board supports sensors, actuators, and custom peripherals without major rewiring. Seamless software integration: Native support for Python and ROS workflows lets teams move quickly from simulation to physical trials. Multiple control modes: Operate the robot from a mobile app, a handheld controller for FPV driving, or via JupyterLab for remote programming and experiments. Core features Chassis and material: Crawler tank design with green aluminum alloy oxide finish for a professional, hardwearing platform. Sensing: SLAM lidar plus HD camera and depth camera for simultaneous localization and mapping, obstacle detection, and visual inspection. Motion: torque gear motors tuned for crawler dynamics to provide consistent speed and torque under load. Control electronics: Integrated robot expansion board for motor drivers, sensor interfaces, and I O expansion. Software toolchain: Full compatibility with ROS including RViz and MoveIt for visualization and motion planning, and Qt toolboxes for GUI development. Development support: Python APIs and JupyterLab online programming for iterative development, testing, and data analysis. Remote operation: Mobile app control and handheld controller support for first person view operation and manual intervention. Why this product solves common problems Reduces integration time: Preinstalled sensors and a ready expansion board remove much of the electronics assembly and allow developers to focus on algorithms and applications. Bridges simulation and reality: Support for RViz, MoveIt, and Qt enables realistic simulation and direct transfer of motion plans to the physical robot. Supports multiple user types: Suitable for engineers, educators, and hobbyists who need both level autonomy and lowlevel access for . Flexible control options: Switch between autonomous missions, FPV teleoperation, and cloud or local programming to match project needs. Compatibility and performance notes Software compatibility: Works with ROS toolboxes such as RViz and MoveIt, Pythonbased development, Qt for custom interfaces, and JupyterLab for online coding and data workflows. Hardware compatibility: Expansion board accepts common sensor and actuator interfaces for rapid prototyping. Form factor: Compact crawler platform intended for indoor and light outdoor use; design focuses on modularity and ease of mounting additional modules. Typical use scenarios Research and education: Use for ROS and autonomy courses to teach SLAM, motion planning with MoveIt, and perception using HD and depth cameras. Students can visualize data in RViz and iterate code in JupyterLab. Site inspection and mapping: Perform detailed interior mapping and visual inspection of warehouses, large facilities, and structured environments using lidar and cameras, then review maps and sensor logs for analysis. Prototyping autonomous behaviors: Develop and test navigation, manipulation, and multi sensor fusion workflows in simulation and deploy the same stacks to the physical crawler for validation. What you get A rugged crawler chassis finished in green aluminum alloy oxide SLAM lidar plus HD and depth camera suite torque gear motors integrated into the drive system Powerful robot expansion board for I O and peripheral integration Software support for ROS, RViz, MoveIt, Qt, Python, and JupyterLab Multiple control modes including mobile app, handheld FPV control, and online programming This platform is designed for teams and individuals who require a reliable, extensible, and software friendly crawler base for mapping, robotics development, and remote operation.