AI Robot Kits Car for Learning SLAM Algorithms with NVIDIA Jetson Nano, LIDAR, and Python/C++

Introducing the AI Robot Kits Car, equipped with NVIDIA Jetson Nano motherboard, for learning SLAM algorithms with Python/C++. This kit comes with LIDAR for map building and autonomous navigation, indoor positioning automatic obstacle avoidance, following, laser radar path planning, cameras and OpenCV to patrol the line, and ROS mileage feedback. With multi-point positioning function, the robot can autonomously plan paths, avoid obstacles and sequentially arrive at the destination point. It uses laser radar to build maps, and the indoor positioning system ensures automatic obstacle avoidance. The robot can also follow a pre-defined path using cameras and OpenCV. The AI Robot Kits Car provides E-book with detailed installation tutorials and complete source code for secondary development. Jetson Nano motherboards ensure high performance and easy integration with other NVIDIA devices. This robot is perfect for learning SLAM algorithms, professional training courses such as IoT, electronic information, and robotics competitions. It can also be used in science and technology museums and festival performances. Functions: Laser radar builds maps Indoor positioning automatic obstacle avoidance Following Laser radar path planning Cameras and OpenCV to patrol the line Ros mileage feedback Specifications: Mainboard: Jetson Nano Program language: Python, C++ Size: 280*242*300mm Weight: about 3.5KG Battery: 2200 / 8400mAh lithium battery pack (some countries can't ship batteries, we will send battery cases instead of batteries) Digital display voltage: Three-digit display voltage Motor: DC brush motor IMU: Nine-axis gyroscope sensor Display: 7 inch HD touch screen Get your hands on the AI Robot Kits Car and dive into the world of SLAM algorithms and autonomous navigation! Other Information: Price: $999.99 Shipping: Free worldwide shipping Warranty: 1 year In the box: AI Robot Kits Car, Jetson Nano motherboard, LIDAR sensor, 2200mAh/8400mAh lithium battery pack (battery case for some countries), three-digit display voltage, DC brush motor, nine-axis gyroscope sensor, 7-inch HD touch screen, E-book installation tutorial and complete source code for secondary development Applications: Learning SLAM algorithms, indoor mapping and navigation, autonomous robots for research and development, robotics competitions and exhibitions.