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Wheeltec V550 Mecanum Ultra RPi5 M10P Depth Voice ROS2 Kit
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Wheeltec V550 Mecanum Ultra RPi5 M10P Depth Voice ROS2 Kit
Wheeltec V550 Mecanum Ultra RPi5 M10P Depth Voice ROS2 Kit
Wheeltec V550 Mecanum Ultra is the updated Mecanum-wheel version of the V550 ROS2 education robot platform. This Ultra configuration is built around Raspberry Pi 5, M10P TOF LiDAR, a depth camera, an RGB camera, and a voice interaction module for robotics learning, mapping, navigation, vision workflows, and open-source development.
The V550 Mecanum chassis uses four-wheel Mecanum drive with swing suspension and 75mm aluminum Mecanum wheels. It supports omnidirectional movement, including forward / reverse motion, lateral translation, diagonal movement, and in-place rotation, making it well suited for ROS2 motion-control experiments in compact indoor lab environments.
For other V550 configurations, compare the Wheeltec V550 AKM Ultra, Wheeltec V550 4WDBot Ultra, and Wheeltec V550 AKM Orin NX Sandtable Kit. For smaller R550 alternatives, see the Wheeltec R550 MecanumBot Ultra and Wheeltec R550 OmniBot Pro.
Technical Specifications
| Brand | Wheeltec |
|---|---|
| Product Version | V550 Mecanum Ultra |
| Configuration Reference | V550 Mecanum Ultra version |
| Store SKU | Wheeltec-V550MN |
| Chassis Type | Four-wheel Mecanum-drive robot chassis with swing suspension |
| Upper Computer | Raspberry Pi 5 configuration |
| Low-Level Controller | STM32F407VET6 robot controller platform |
| LiDAR | M10P TOF LiDAR in the Ultra kit configuration |
| Camera System | Depth camera and RGB camera for vision workflow support |
| Voice Hardware | Voice interaction module for voice input / output and human-robot interaction workflow testing |
| Drive Structure | Four-wheel Mecanum drive with swing suspension in the V550 Mecanum reference configuration |
| Wheel Type | 75mm high-quality aluminum Mecanum wheels |
| Motor Reference | MGS13 metal gear reduction motor platform used in the V550 family |
| Encoder Reference | 500-line AB-phase high-precision GMR encoder feedback |
| Chassis Size Reference | 260 × 234 × 228mm for the V550 Mecanum reference configuration |
| Chassis Weight Reference | Approximately 4.2kg for the Mecanum chassis reference configuration; final configured kit weight may vary by installed modules |
| Load Capacity Reference | Up to 4kg for the V550 Mecanum reference configuration |
| Maximum Speed Reference | Up to 1m/s for the V550 Mecanum reference configuration |
| Battery Life Reference | About 5 hours under light load or about 3.5 hours with 1kg load at 0.45m/s reference speed |
| Control Interfaces | APP, USB wireless controller, CAN, serial communication, and keyboard node control depending on software setup |
| Operating System Direction | ROS1 / ROS2 learning and development with STM32 FreeRTOS low-level firmware resources |
| Development Resources | Development manual, video tutorials, ROS source code, STM32 source code, ROS image, and modular expansion resources |
Integration Notes & Hardware Guidance
- Version alignment: This description is written for the V550 Mecanum Ultra configuration with Raspberry Pi 5, M10P LiDAR, depth camera, RGB camera, and voice interaction module.
- Motion model: The Mecanum chassis supports omnidirectional movement, so navigation and velocity parameters should be configured for Mecanum kinematics.
- Suspension behavior: The swing suspension helps maintain wheel contact, but Mecanum movement still needs a flat, clean surface for accurate lateral motion and odometry.
- Perception calibration: Keep the M10P LiDAR level, secure both cameras, and verify sensor frames before mapping, visual navigation, or depth-related tests.
- Payload planning: Extra sensors, batteries, or experiment modules can affect traction, lateral movement, and odometry. Retune motion and navigation parameters after meaningful payload changes.
- Floor condition: A flat indoor floor is recommended for stable Mecanum movement, cleaner odometry, and more repeatable ROS2 navigation experiments.
Packing List
| Item | Qty | Notes |
|---|---|---|
| Wheeltec V550 Mecanum Ultra robot platform | 1 | Mecanum-wheel V550 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 vision workflow support |
| RGB camera | 1 | Color image workflow support |
| Voice interaction module | 1 | Voice input / output and interaction 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
Is this product the V550 Mecanum Ultra version?
Yes. This listing is written for the V550 Mecanum Ultra configuration with Raspberry Pi 5, M10P TOF LiDAR, depth camera, RGB camera, and voice interaction module.
What is the main advantage of the Mecanum chassis?
The Mecanum chassis supports omnidirectional movement, including lateral translation and in-place rotation, which is useful for indoor ROS2 motion-control and navigation experiments.
Does this kit include Raspberry Pi 5?
Yes. This Ultra configuration is written for the Raspberry Pi 5 based kit.
What perception hardware is included?
The Ultra configuration includes M10P TOF LiDAR, a depth camera, an RGB camera, and a voice interaction module.
How is it different from the V550 AKM version?
The V550 Mecanum version is optimized for omnidirectional movement and lateral translation, while the V550 AKM version focuses on Ackermann steering and car-like turning behavior.
What floor type is recommended?
A flat indoor floor is recommended for stable Mecanum movement, cleaner odometry, and more repeatable ROS2 navigation experiments.
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