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Wheeltec V550 4WDBot Ultra RPi5 M10P Depth Voice ROS2 Kit
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Wheeltec V550 4WDBot Ultra RPi5 M10P Depth Voice ROS2 Kit
Wheeltec V550 4WDBot Ultra is the updated four-wheel-drive 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 4WDBot chassis uses four-wheel drive with swing suspension and 65mm WHEELTEC wheels, giving the robot a stronger traction-focused base than smaller wheel platforms. It is suitable for ROS2 motion-control, path tracking, mapping, perception, and payload-friendly indoor robotics development where stable movement and modular expansion matter.
For other V550 configurations, compare the Wheeltec V550 AKM Ultra, Wheeltec V550 Mecanum Kit, and Wheeltec V550 AKM Orin NX Sandtable Kit. For smaller R550 alternatives, see the Wheeltec R550 4WDBot Ultra and Wheeltec R550 MecanumBot Ultra.
Technical Specifications
| Brand | Wheeltec |
|---|---|
| Product Version | V550 4WDBot Ultra |
| Configuration Reference | V550 4WDBot Ultra version |
| Store SKU | Wheeltec-V5504N |
| Chassis Type | Four-wheel-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 drive with swing suspension in the V550 4WD reference configuration |
| Wheel Type | 65mm WHEELTEC wheels for 4WD |
| 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 | 260 214 223mm for the V550 four-wheel-drive reference configuration |
| Chassis Weight Reference | Approximately 4kg for the four-wheel-drive chassis reference configuration; final configured kit weight may vary by installed modules |
| Load Capacity Reference | Up to 4kg for the V550 four-wheel-drive reference configuration |
| Maximum Speed Reference | Up to 1m/s for the V550 four-wheel-drive 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 4WDBot Ultra configuration with Raspberry Pi 5, M10P LiDAR, depth camera, RGB camera, and voice interaction module.
- Motion model: The 4WDBot chassis uses four-wheel drive and should not be configured as a Mecanum, omni-wheel, tracked, or Ackermann platform.
- Suspension behavior: The swing suspension helps maintain wheel contact, but control parameters should still be tuned for the actual floor, payload, and speed range.
- 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, acceleration, and odometry. Retune motion and navigation parameters after meaningful payload changes.
- Floor condition: A flat indoor floor with stable wheel traction is recommended for cleaner odometry and more repeatable ROS2 navigation experiments.
Packing List
| Item | Qty | Notes |
|---|---|---|
| Wheeltec V550 4WDBot Ultra robot platform | 1 | Four-wheel-drive 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 4WDBot Ultra version?
Yes. This listing is written for the V550 4WDBot Ultra configuration with Raspberry Pi 5, M10P TOF LiDAR, depth camera, RGB camera, and voice interaction module.
What is the main advantage of the 4WDBot chassis?
The 4WDBot chassis uses four-wheel drive with swing suspension, giving it a stable traction-focused base for ROS2 navigation, mapping, and payload-friendly development.
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 4WDBot uses four-wheel drive with swing suspension, while the V550 AKM version focuses on Ackermann steering and car-like turning behavior.
What floor type is recommended?
A flat indoor floor with stable traction is recommended for cleaner odometry, better path tracking, and more repeatable ROS2 navigation experiments.
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