The R550 AKM PLUS by WheelTech is a flagship mobile research platform for ROS robotics, AI, and SLAM applications. Featuring an Ackermann steering structure inspired by new energy vehicle systems, it delivers stable handling, durability, and excellent value for research and education. Built on WheelTech’s decade of robotics expertise and ROS tutorial ecosystem, it balances functionality, performance, and affordability for labs, classrooms, and field experiments.
Technical Specifications
| Parameter | R550 PLUS Ackermann Edition High Configuration | R550 Desktop ROS Education Version |
|---|---|---|
| Dimensions L × W × H | 445 × 360 × 206 mm | 271 × 189 × 151 mm |
| Motor | MD36L DC Brush Motor 60 W Rated Power | MG513 DC Reduction Motor 4.32 W |
| Wheel Size | 125 mm Snow Resistant Rubber Tires | 65 mm Rubber Tires |
| Payload Capacity | 25 kg | 3 kg |
| Battery Pack | 24 V 6000 mAh LiFePO4 Battery upgradable to 20000 mAh | 12 V 5100 mAh Ternary Lithium Battery |
| Runtime per Charge | Approx. 9.5 h | Approx. 7 h |
| Suspension System | Rocker Arm Suspension | None |
| Obstacle Climb Height | 30 mm upgradable to 75 mm | Not Supported |
| Outdoor Operation | Supported | Not Supported |
| ROS Edition Price reference | From ¥ 4099 CNY | From ¥ 2399 CNY |
Core Features
- Ackermann steering mechanics: Real car style front wheel steering and rear wheel drive deliver precise handling and realistic vehicle dynamics.
- Enhanced hardware capacity: Up to 4.2x larger overall build volume than desktop models with 10x higher payload expansion potential.
- Rock arm suspension system: Independent suspension absorbs terrain vibration for dependable outdoor performance.
- Powerful DC motor drive: 60 W brushed motor provides high torque and smooth PID based speed control.
- Battery and runtime optimization: LiFePO4 battery ensures stable voltage output and long endurance with efficient energy management.
- Outdoor ready design: Aluminum alloy frame and rubber wheels support open environment SLAM mapping and path planning.
- ROS integration: Fully compatible with ROS Noetic and Melodic, SLAM packages, and custom navigation stacks.
Optional Controller Modules
- Raspberry Pi 5
- NVIDIA Jetson Nano, Xavier NX, Orin Nano Super 8 GB
- RDK X5 AI Computing Module
Recommended Applications
- Mobile robotics research and education
- ROS SLAM and path planning development
- AI vision and autonomous navigation projects
- Vehicle mechanics and control algorithm teaching