The 4WD Outdoor ROS Intelligent Robot is an advanced autonomous mobile platform for AI navigation, SLAM mapping, and outdoor research. Powered by NVIDIA Jetson Orin NX and a 16 line Leishen LiDAR, it combines robust four wheel drive with edge AI computing to tackle visual perception, path planning, and obstacle avoidance in unstructured environments.
Technical Specifications
| Parameter | Specification |
|---|---|
| Drive Type | 4 Wheel Drive with independent suspension and all terrain design |
| Steering Mode | Front Ackermann style steering with rear drive support |
| Main Controller | NVIDIA Jetson Orin NX 8 GB or 16 GB optional upgrade to Orin Nano or Xavier NX |
| AI Framework Support | ROS, ROS2, TensorFlow, PyTorch, OpenCV, CUDA |
| Operating System | Ubuntu 20.04 with ROS Noetic or ROS2 Humble |
| Sensors | 16 line Leishen LiDAR, HD camera, 9 axis IMU, GPS optional RTK |
| Motor System | High torque planetary gear DC motors with encoder feedback |
| Speed Control | MCU PID closed loop with precision PWM drivers |
| Wheel Diameter | 125 mm to 150 mm off road rubber tires with non slip tread |
| Suspension System | Independent rocker arm plus shock absorber suspension |
| Battery Capacity | 24 V 10000 to 20000 mAh LiFePO4 battery pack quick switch design |
| Endurance Time | Approximately 8 to 10 hours per charge depending on load and terrain |
| Communication Interfaces | USB, Ethernet, CAN, UART, Wi Fi 6, Bluetooth 5.0 |
| Camera Compatibility | Supports Intel Realsense D435, Orbbec, standard RGB camera |
| LiDAR Mount | Standard 360 degree rotatable top mount, supports multiple brands |
| Material | CNC aluminum alloy chassis with reinforced modular rails |
| Dimensions L x W x H | Approx. 480 x 390 x 250 mm customizable layout |
| Payload Capacity | Up to 25 to 30 kg |
| Operating Temperature | Minus 10 C to 50 C |
| Software Simulation | ROS Gazebo, Rviz, MoveIt, Autoware supported |
| Programming Languages | Python, C plus plus, C, CUDA, CMake |
| Network Access | Remote SSH, VNC, Web control, ROSBridge interface |
| Safety Features | Emergency stop switch and BMS battery protection |
| Application Fields | Autonomous navigation, AI research, SLAM education, university autonomous driving projects |
Core Features
- Four wheel drive for outdoor mobility: Handles sand, gravel, and grass with high stability and traction.
- NVIDIA Orin NX computing platform: GPU accelerated edge AI enables real time deep learning inference on board.
- 16 line LiDAR SLAM system: High precision 3D mapping and autonomous navigation in dynamic environments.
- Full ROS and ROS2 compatibility: Ready to run drivers, navigation nodes, and Gazebo simulation resources.
- Dual IMU and GPS integration: Supports visual odometry fusion and outdoor positioning with RTK accuracy.
- Industrial grade construction: Aluminum chassis, shock absorbing mounts, and protected sensor housings for durability.
- Expandable design: GPIO, CAN, and UART for custom modules such as robotic arm, depth camera, and pan tilt.
Optional Add Ons
- 32 line or 64 line LiDAR upgrade
- Dual antenna RTK GPS module
- AI stereo vision camera
- 6 DOF robotic arm mount kit
- IP65 outdoor sensor enclosure
Applications
- Autonomous driving research and education
- Outdoor SLAM and environment mapping
- AI robotic navigation and visual perception
- Edge computing and sensor fusion development
- Robotics competitions and field experiments