The V650 ROS Smart Mobile Platform is a robust and versatile robotic chassis designed for advanced indoor and semi-outdoor navigation tasks. This platform offers exceptional stability and precision, making it an ideal choice for AI navigation training, robot control research, and mapping development. With flexible controller options and extensive ROS integration, the V650 empowers developers and educators to explore complex robotics applications.
Key Features
- Dual-Wheel Differential Drive Architecture: Ensures stable motion and precise control over linear and angular velocity, crucial for accurate SLAM and path planning.
- Supports Semi-Outdoor Operation: Constructed with a durable CNC-machined aluminum alloy frame and rubber tires, allowing seamless navigation on varied terrains including corridors and concrete surfaces. The IP54 protection makes it suitable for semi-outdoor environments.
- High-Performance AI Controller Options: Choose between a Raspberry Pi 5 (8 GB RAM) for educational purposes or an NVIDIA Jetson Orin NX (optional Xavier NX or RDK X5) for demanding AI vision and autonomous navigation research.
- Full ROS Navigation Stack Integration: Pre-configured with essential ROS 1 Noetic or ROS 2 Humble components, including Cartographer SLAM, AMCL localization, and global path planning modules, enabling out-of-the-box operation.
- Expandable Sensor Interface: Features multiple I/O ports for connecting a wide range of external sensors such as depth cameras, GPS modules, IMUs, and environmental sensors, greatly extending its capabilities.
- Simulation and Visualization Support: Compatible with Rviz for real-time visualization and Gazebo for 3D simulations, providing invaluable tools for teaching demonstrations and advanced development in AI robotics.
- Ideal for Education and Research: This platform is perfectly suited for universities, AI training institutions, and ROS developers engaged in mapping, navigation, and general robotics development.
Technical Specifications
| Feature | Detail |
|---|---|
| Model | V650 ROS Smart Mobile Platform |
| Main Controller | Raspberry Pi 5 (8 GB RAM) / NVIDIA Jetson Orin NX (optional Xavier NX or RDK X5) |
| Operating System | Ubuntu + ROS1 Noetic or ROS2 Humble (pre-configured for SLAM and navigation) |
| Drive Mechanism | Dual-wheel differential drive with rear casters, encoders for accurate odometry feedback |
| Control System | PID closed-loop motor controller supporting speed and direction feedback via ROS topics |
| Navigation System | ROS navigation stack / Cartographer / GMapping / AMCL real-time mapping and path planning |
| Main Sensors | 2D LiDAR (for SLAM and obstacle detection) + IMU (9-axis gyroscope) + optional depth camera |
| Optional Sensors | Ultrasonic sensor array, RGB camera, GPS module (for semi-outdoor navigation) |
| Power System | 12 V Li-ion battery pack with power distribution board and charge protection |
| Communication Interfaces | USB, I2C, UART, CAN, Ethernet, Wi-Fi, Bluetooth (optional 4G/5G network module) |
| Chassis Material | CNC-machined aluminum alloy frame with rubber wheel suspension and IP54 semi-outdoor protection |
| Speed and Range | Max speed 1.8 m/s | Battery life ≈ 4 – 6 hours | Payload up to 20 kg |
| Dimensions | Standard length ≈ 50 – 55 cm | Width ≈ 40 cm | Height ≈ 25 cm |
| Programming Languages | Python / C++ / MicroROS SDK for customized node development |
| Software Support | SLAM mapping toolkits, Rviz visualization, Gazebo simulation, remote tele-operation support |
| Applications | AI navigation training, robot control research, mapping development, semi-outdoor motion experiments |
| Certifications | CE / RoHS / STEM Education Compliance |