The Autonomous Mobile Robot Base, NVIDIA Orin Nano Version, is a versatile and high-performance robot chassis engineered for advanced SLAM, navigation, and AI-driven applications. Designed for stability and maneuverability, this platform is an excellent tool for robotics research, education, and development in both indoor and semi-outdoor environments.
Key Features
- Four-Wheel Two-Drive Differential Structure: This configuration provides excellent stability and accurate motion control, essential for precise navigation and mapping tasks across various terrains.
- AI Computing Platform with NVIDIA Orin Nano: Equipped with an NVIDIA Jetson Orin Nano (8 GB), this platform supports deep learning vision, object recognition, and real-time SLAM computation directly on-board. Optional Jetson Xavier NX, Orin NX, Raspberry Pi 5, or RDK X5 versions are also available.
- ROS Integrated Navigation System: Pre-loaded with Ubuntu 20.04/22.04 and ROS Noetic or ROS2 Humble, it includes the ROS Navigation Stack, Cartographer SLAM, and AMCL for autonomous localization, mapping, and path planning out-of-the-box.
- Rich Sensor Expansion: The chassis is highly expandable, compatible with a wide range of sensors including LiDAR, IMU, depth cameras, ultrasonic modules, and RTK GPS, enabling sophisticated multi-sensor fusion capabilities.
- Stable and Durable Chassis: Constructed from CNC-machined aluminum alloy with anti-slip rubber tires and shock-absorber mounts. Its low center of gravity ensures smooth and stable movement on diverse indoor and semi-outdoor surfaces.
- Research and Education Ready: This platform is ideally suited for AI robotics research, ROS curriculums, advanced SLAM teaching, and the development of complex navigation experiments in university settings.
Technical Specifications
| Feature | Detail |
|---|---|
| Product Name | Four-Wheel Two-Drive Differential ROS Robot Chassis with LiDAR and Navigation System |
| Model | Autonomous Mobile Robot Base for SLAM and Navigation – NVIDIA Orin Nano Version |
| Main Controller (Options) | NVIDIA Jetson Orin Nano (8 GB) / Jetson Xavier NX / Orin NX (optional Raspberry Pi 5 or RDK X5 versions) |
| Operating System | Ubuntu 20.04 / 22.04 with ROS Noetic or ROS2 Humble (pre-installed for SLAM and Navigation) |
| Drive Configuration | 4-wheel chassis with 2-wheel differential drive + rear free casters |
| Control System | Dual DC encoder motors with PID feedback control, supporting odometry and velocity feedback ROS topics |
| Navigation System | ROS Navigation Stack (Cartographer / GMapping / AMCL), real-time mapping and obstacle avoidance |
| Sensor Suite | 2D LiDAR for SLAM and path planning / 9-axis IMU for orientation fusion / Optional depth or RGB camera |
| Power System | 12 V / 24 V rechargeable Li-Ion battery pack with battery management board (BMS) |
| Connectivity | USB 3.0 / I2C / UART / CAN / Ethernet / Wi-Fi / Bluetooth (optional 4G/5G network module) |
| Material & Construction | CNC-machined aluminum alloy chassis with anti-slip rubber tires and shock-absorber mounts |
| Speed & Capacity | Max speed ≈ 2 m/s | Payload ≈ 20 kg | Battery life ≈ 4–6 hours |
| Programming Languages | Python / C++ (fully compatible with ROS and OpenCV AI frameworks) |
| Software Environment | Gazebo simulation / Rviz visualization / Python SDK / Web remote control support |
| Dimensions | 50 × 45 × 25 cm (standard version) |
| Applications | Research in autonomous navigation, AI-vision robotics, SLAM algorithms, and university robotics education |
| Certifications | CE / RoHS / STEM Education Compliant |