ROS JetTank Robot Kit for Jetson Nano (Standard kit with EA1 G4 Lidar) Overview A readytodevelop mobile robot platform built for robotics research, education, and rapid prototyping. This ROScompatible tank robot integrates support for Jetson Nano, EA1 G4 Lidarbased mapping, an onboard touch screen, and Python programming examples to accelerate development of 3D mapping and autonomous navigation projects. Key benefits Fast integration: Hardware and sensor layout are preconfigured for Jetson Nano and ROS, reducing setup time so you can focus on software and experiments. Practical mapping and navigation: Builtin EA1 G4 Lidar and ROS support enable Lidar mapping, SLAM, and navigation workflows out of the box. Accessible development: Touch screen interface plus Python APIs and example code make it easier for students and developers to prototype AI and autonomy algorithms. Modular and extendable: Tankstyle chassis provides mounting space for additional sensors and peripherals, supporting iterative hardware development. What it does 3D and Lidar mapping: Use the included EA1 G4 Lidar with ROS tools to build 2D and 3D maps and run SLAM algorithms. Autonomous navigation: Run ROS navigation stacks and path planning on a compatible compute module to develop obstacle avoidance and waypoint following. Onboard control and visualization: Integrated touch screen for direct control, status display, and visualization of mapping and sensor data. Python programming support: Example projects and APIs enable rapid prototyping of perception, control, and AI tasks. Compatibility and key components Designed for use with Jetson Nano compute module for onboard GPUaccelerated processing and ROS development. Standard kit includes EA1 G4 Lidar for Lidarbased mapping and perception. ROScompatible software stack and Python examples included to support development and education. Design and usability Tank chassis form factor provides stable mobility over indoor surfaces and a low center of gravity for sensor stability. Modular layout for easy mounting and wiring of additional sensors, cameras, or custom electronics. Touch screen interface simplifies setup, control, and realtime feedback during testing. Performance notes Enables realtime mapping and navigation when paired with appropriate compute resources such as Jetson Nano and configured ROS stacks. Designed to support common robotics workflows including SLAM, path planning, sensor fusion, and perception model testing. Typical applications Robotics research and prototyping: Develop and test SLAM, navigation, and perception algorithms with an integrated Lidar and ROS environment. Education and training: Handson platform for university or classroom courses teaching ROS, Python robotics programming, and embedded AI. Indoor inspection and mapping: Create accurate indoor maps for asset tracking, facility planning, or prototype inspection systems. What you will get ROS JetTank Robot kit configured for Jetson Nano compatibility. EA1 G4 Lidar included in the standard kit for mapping and navigation. Touch screen interface and Pythonbased example projects to accelerate development. Why choose this kit This kit provides a purposebuilt platform that combines ROS compatibility, Lidar sensing, and Jetson Nano support in a single package. It reduces hardware integration work and provides the software building blocks needed to prototype autonomous navigation and mapping systems quickly and reliably.