Wheeltec R550 MecanumBot Ultra RPi5 M10P Depth Voice ROS2 Kit
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Wheeltec R550 MecanumBot Ultra RPi5 M10P Depth Voice ROS2 Kit
Wheeltec R550 MecanumBot Ultra RPi5 M10P Depth Voice ROS2 Kit
Wheeltec R550 MecanumBot Ultra is the updated Mecanum-wheel version of the R550 ROS2 education robot platform. This Ultra configuration is built around Raspberry Pi 5, M10P TOF LiDAR, a depth camera, and a voice interaction module for robotics learning, navigation, vision, and open-source development.
The Mecanum chassis gives the robot omnidirectional movement, making it suitable for ROS2 motion-control experiments that need forward / reverse motion, lateral translation, diagonal movement, and in-place rotation. Compared with the AKM/DiffBot version, the MecanumBot configuration is better suited for indoor lab environments where compact movement, flexible positioning, and path-planning demonstrations matter.
For other R550 chassis choices, compare the Wheeltec R550 AKM/DiffBot Ultra, Wheeltec R550 OmniBot, and Wheeltec R550 TrackedBot.
Technical Specifications
| Parameter | Details |
|---|---|
| Brand | Wheeltec |
| Product Version | R550 MecanumBot Ultra |
| Configuration Reference | R550 MecanumBot Ultra version |
| Store SKU | Wheeltec-R550M |
| Chassis Type | Mecanum-wheel omnidirectional 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 |
| Wheel Type | 75mm metal Mecanum wheels in the R550 Mecanum reference configuration |
| 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 | 266 x 230 x 202mm for the R550 Mecanum reference configuration |
| Chassis Weight Reference | Approximately 2.9kg for the Mecanum chassis reference configuration; final configured kit weight may vary by installed modules |
| Load Capacity Reference | Up to 6kg for the Mecanum chassis reference configuration |
| Maximum Speed Reference | Up to 1.4m/s for the Mecanum 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 |
Integration Notes & Hardware Guidance
- Version alignment: This description is written for the updated Ultra configuration with Raspberry Pi 5, M10P LiDAR, depth camera, and voice module. Older R550 descriptions may mention different compute boards, LiDAR models, or camera options.
- Motion model: The MecanumBot chassis supports omnidirectional motion, so navigation and velocity parameters should be configured for Mecanum kinematics rather than Ackermann, tracked, or standard differential behavior.
- Floor condition: Mecanum wheels perform best on flat indoor surfaces. Uneven floors, thick carpet, and loose debris can affect odometry, lateral movement, and path tracking.
- Perception calibration: Keep the M10P LiDAR level, secure the depth camera mount, and verify sensor frames before mapping, depth following, or visual navigation tests.
- Payload planning: Extra sensors, batteries, or experiment modules can change traction and odometry behavior. Retune motion and navigation parameters after meaningful payload changes.
For higher-payload or arm-enabled R550 options, see the Wheeltec R550 4WDBot and Wheeltec R550A 4DOF Arm ROS Kit.
Packing List
| Item | Qty | Notes |
|---|---|---|
| Wheeltec R550 MecanumBot Ultra robot platform | 1 | Mecanum-wheel 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 |
FAQ
Q: Is this the Mecanum-wheel version?
A: Yes. This product is the R550 MecanumBot Ultra configuration with a Mecanum-wheel chassis.
Q: What is the main advantage of the Mecanum chassis?
A: It supports omnidirectional movement, including lateral translation and in-place rotation, which is useful for indoor ROS2 motion-control and navigation experiments.
Q: Does this kit include Raspberry Pi 5?
A: Yes. This Ultra configuration is written for the Raspberry Pi 5 based kit.
Q: What perception hardware is included?
A: The updated Ultra configuration includes M10P TOF LiDAR, a depth camera, and a voice interaction module.
Q: Does it support ROS2 learning?
A: Yes. The R550 family is positioned for ROS2 education and development, with mapping, navigation, vision, and interaction workflows.
Q: What floor type is recommended?
A: A flat indoor floor is recommended for stable Mecanum movement and more reliable odometry behavior.
Q: How is it different from the AKM/DiffBot version?
A: The MecanumBot is optimized for omnidirectional movement, while the AKM/DiffBot version focuses on Ackermann / differential-drive behavior.
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