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Wheeltec V550 AKM Ultra RPi5 M10P Depth RGB Voice ROS2 Kit
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Wheeltec V550 AKM Ultra RPi5 M10P Depth RGB Voice ROS2 Kit
Wheeltec V550 AKM Ultra RPi5 M10P Depth RGB Voice ROS2 Kit
Wheeltec V550 AKM Ultra is the updated Ackermann-steering 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 AKM chassis uses Ackermann steering with 65mm blue rubber wheels, giving the robot car-like movement behavior for autonomous driving, path tracking, and ROS2 control experiments. Compared with Mecanum or four-wheel-drive versions, this AKM configuration is better suited for users who want to study steering geometry, vehicle-style motion control, and navigation behavior on a compact educational platform.
For other V550 configurations, compare the Wheeltec V550 4WDBot Kit, Wheeltec V550 Mecanum Kit, and Wheeltec V550 AKM Orin NX Sandtable Kit. For smaller R550 alternatives, see the Wheeltec R550 AKM/DiffBot Ultra and Wheeltec R550 MecanumBot Ultra.
Technical Specifications
| Brand | Wheeltec |
|---|---|
| Product Version | V550 AKM Ultra |
| Configuration Reference | V550 AKM Ultra version |
| Store SKU | Wheeltec-V550AN |
| Chassis Type | Ackermann-steering robot chassis |
| 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 | Ackermann steering, no suspension in the V550 AKM reference configuration |
| Wheel Type | 65mm blue rubber 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 | 280 × 190 × 226mm for the V550 AKM reference configuration |
| Chassis Weight Reference | Approximately 3.3kg for the AKM chassis reference configuration; final configured kit weight may vary by installed modules |
| Load Capacity Reference | Up to 4kg for the V550 AKM reference configuration |
| Maximum Speed Reference | Up to 1m/s for the V550 AKM reference configuration |
| 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 AKM Ultra configuration with Raspberry Pi 5, M10P LiDAR, depth camera, RGB camera, and voice interaction module.
- Motion model: The AKM chassis uses Ackermann steering, so navigation and velocity parameters should not be copied directly from Mecanum, omni-wheel, tracked, or standard differential configurations.
- Steering behavior: Use Ackermann-compatible planning and control settings when testing path following, turning radius, and autonomous driving logic.
- 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 steering response, traction, 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 vehicle-style motion experiments.
Packing List
| Item | Qty | Notes |
|---|---|---|
| Wheeltec V550 AKM Ultra robot platform | 1 | Ackermann-steering 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 AKM Ultra version?
Yes. This listing is written for the V550 AKM Ultra configuration with Raspberry Pi 5, M10P TOF LiDAR, depth camera, RGB camera, and voice interaction module.
What is the main advantage of the AKM chassis?
The AKM chassis uses Ackermann steering, which is useful for vehicle-style motion control, autonomous driving experiments, path tracking, and turning-radius studies.
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 Mecanum version?
The V550 AKM version focuses on Ackermann steering and car-like motion behavior, while the V550 Mecanum version is built for omnidirectional movement and lateral translation.
What floor type is recommended?
A flat indoor floor with stable traction is recommended for cleaner odometry, better path tracking, and more repeatable Ackermann steering experiments.
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