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Wheeltec R550 AKM/DiffBot Ultra is the updated Ackermann / differential-drive version of the R550 ROS2 education robot platform. This configuration is rebuilt around Raspberry Pi 5, M10P TOF LiDAR, a depth camera, and a voice interaction module, giving robotics learners and labs a more current stack for navigation, perception, interaction, and open-source development.
The AKM/DiffBot chassis keeps the R550 familys compact teaching-oriented structure while focusing on car-like steering and differential motion experiments. It is suitable for users who need a structured ROS2 robot kit with STM32 low-level control, encoder feedback, IMU / odometry feedback, LiDAR mapping, depth vision, voice interaction, and expandable software resources.
For other R550 chassis choices, compare the Wheeltec R550 MecanumBot, Wheeltec R550 OmniBot, and Wheeltec R550 TrackedBot.
| Parameter | Details |
|---|---|
| Brand | Wheeltec |
| Product Version | R550 AKM/DiffBot Ultra |
| Store SKU | Wheeltec-R550A |
| Chassis Type | Ackermann / differential robot chassis |
| Upper Computer | Raspberry Pi 5 configuration |
| Low-Level Controller | WheelBoard C30D STM32 robot controller board |
| LiDAR | M10P TOF LiDAR in the updated Ultra kit configuration |
| Camera | Depth camera with RGB / depth vision workflow support |
| Voice Module | Voice interaction module for voice control, voice feedback, and human-robot interaction workflow testing |
| Motor Reference | MG513 metal gear reduction motor platform used in the R550 family |
| Encoder Reference | 500-line AB-phase high-precision GMR encoder feedback |
| Chassis Size Reference | 271 x 189 x 151mm for the R550 Ackermann / differential chassis reference configuration |
| Chassis Weight Reference | Approximately 1.8kg for the base Ackermann / differential chassis reference configuration; final configured kit weight may vary by installed modules |
| Load Capacity Reference | Up to 3kg for the Ackermann / differential chassis reference configuration |
| Maximum Speed Reference | Up to 1.2m/s for the Ackermann / differential chassis reference configuration |
| Control Interfaces | APP, PS2 wireless controller, CAN, serial communication, keyboard node control, and voice interaction workflows depending on software setup |
| Software Direction | ROS2 open-source robot development with mapping, navigation, vision, interaction, and extension resources |
| Low-Level Feedback | IMU, odometry feedback, battery voltage monitoring, and voltage-alarm related base functions in the R550 family |
| Development Resources | Open-source ROS packages, STM32 firmware resources, tutorial-oriented learning materials, and modular expansion support |
For higher-mobility or expansion alternatives, see the Wheeltec R550 4WDBot and Wheeltec R550A 4DOF Arm ROS Kit.
| Item | Qty | Notes |
|---|---|---|
| Wheeltec R550 AKM/DiffBot Ultra robot platform | 1 | Ackermann / differential-drive R550 robot kit |
| Raspberry Pi 5 compute configuration | 1 | Upper-computer configuration for this Ultra kit |
| M10P TOF LiDAR | 1 | LiDAR module for mapping, navigation, and obstacle-aware workflows |
| Depth camera | 1 | Depth / RGB vision workflow support |
| Voice interaction module | 1 | Voice command and feedback workflow support |
| Accessory and cable pack | 1 | Exact cable and accessory contents may vary by shipment batch |
| Open-source software and tutorial resources | 1 | Digital resources provided for learning and development workflows |
Q: Is this the updated Ultra version?
A: Yes. This description is written for the updated R550 AKM/DiffBot Ultra configuration with Raspberry Pi 5, M10P LiDAR, depth camera, and voice interaction module.
Q: Is this the Mecanum chassis?
A: No. This product is the AKM/DiffBot version, focused on Ackermann / differential-drive behavior rather than Mecanum omnidirectional movement.
Q: Does it support ROS2?
A: Yes. The R550 family is positioned as a ROS2 education robot platform, and this kit is written for ROS2 development and learning workflows.
Q: What sensors are included in this configuration?
A: The updated Ultra configuration includes M10P TOF LiDAR, a depth camera, and a voice interaction module in addition to the robot base and Raspberry Pi 5 compute configuration.
Q: Can it be used for mapping and navigation?
A: Yes. The robot is built for LiDAR mapping, navigation, odometry feedback, and ROS2 robot development workflows when the software image and calibration are correctly configured.
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