Robot Car Kit, Tracked Robot Vehicle with LiDAR SLAM Mapping Navigation, ROS-Based Development Platform with Jetson Nano Controller

Product Specifications
Color: As shown
Material: Metal
ROS Robot Mainboard: Jetson Nano
Programming Languages: Python, C++
Camera: 1080P
Voltage Display: Digital readout screen
IMU: 9-axis gyroscope sensor
Virtual Machine: Ubuntu 18.04
Display Screen: 7-inch 1080p high-resolution touchscreen
Lidar: XR_Lidar S1
Motor: DC brushed motor (with built-in 360-line AB encoder)
Battery: 2200mAh Li-ion battery with charging protection
Interfaces: USB/HDMI, power port
Motor Torque: 3.5 N·m
Network Card: Intel 8625
Low-level Driver Board: STM32F105
Programming Software: RoboWare Studio

Product Features:
High-frequency magnetic excitation, a new realm of light and shadow technology
1. Industrial-grade core hardware, high-precision SLAM mapping
Equipped with the NVIDIA Jetson Nano mainboard and XR_Lidar S1, it utilizes laser triangulation technology to achieve 360° scanning, an 8-meter ranging capability, and a high-speed sampling rate of 3,860 points/second. Built-in SLAM algorithms (such as gmapping and hector) enable rapid indoor environment scanning and precise map construction, laying a solid foundation for advanced autonomous driving and path planning.
2. ROS robot operating system, supports Python/C++ programming
Pre-installed with an Ubuntu 18.04 virtual machine and ROS (Robot Operating System) environment, offering a user-friendly interface. It supports dual-language programming (Python and C++) and is compatible with professional development tools like RoboWare Studio, making it suitable for both university laboratory research and in-depth algorithm development by makers.
3. Multi-sensor fusion for dynamic obstacle avoidance and autonomous navigation
Equipped with a 9-axis gyroscope (IMU), a 1080P HD camera, and an STM32F105 driver board. Combined with a PID closed-loop speed compensation algorithm, it enables indoor automatic obstacle avoidance, multi-point positioning, and dynamic path re-planning. It ensures stable responses for tasks ranging from re-planning when a path is blocked to laser-based tracking of moving targets. 1,
4. Extensive expansion interfaces for a comprehensive, out-of-the-box experience
The vehicle features a modular design, integrating a 7-inch 1080P HD touchscreen, a 2.4GHz mini keyboard, a high-capacity 8400mAh lithium battery, and an Intel 8625 network card; it supports both wired network (IP: 192.168.3.141) and Wi-Fi connectivity. The accessory kit includes a camera, radar, driver board, various standoffs and screws, and a 16GB SD card, enabling quick setup and immediate use.
5. Scenario-based application tutorials: From basics to practical projects
Includes comprehensive demonstrations of functions such as mapping, navigation, line following, and target tracking. Users can activate "Laser Follow" mode via the app, allowing the robot to automatically detect and track moving objects ahead; the camera-based line-following function enables the robot to navigate automatically along a preset black line. Covering real-world applications like sweeping robots and logistics delivery vehicles, it serves as an ideal platform for learning SLAM and ROS. 

Target Audience: Ages 16+

Packing List:
Chassis parts (set) x1
1080P HD camera x1
XR_LidarS1 LiDAR x1
Jetson Nano x1
Power board x1
7-inch HDMI display x1
Acrylic Plate A x1
Display mounting plate x1
Battery x1
9-axis gyroscope x1
2.4G mini wireless keyboard & mouse (driver-free) x1
Velcro strip x1
M3 screws x15
M3 nuts x15
M2.5 nylon standoffs x8
M2.5 screws x8
M2.5 nuts x4
Standoffs x12
M3 single-head brass standoffs x4
M3-45 double-pass standoffs x4
M3-25 hexagonal double-pass standoffs x4
M2 nuts x4
M3-16 screws x4
Nano network card x1
M2 screws x4
Antennas x2
Lithium battery charger x1
Data cables x2
Android extension cable x1
64GB memory card x1
HDMI extension cable x1