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The Wheeltec R550 4WDBot Ultra is the updated four-wheel-drive 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.
The 4WDBot chassis uses four 65mm rubber wheels and a four-wheel differential drive layout, giving the robot strong traction, a 6kg reference load capacity, and a stable base for ROS2 navigation, perception, voice interaction, and open-source robot development. Compared with the Mecanum or omni versions, this configuration prioritizes straightforward 4WD movement and payload-friendly mobility rather than lateral translation.
For other R550 chassis options, compare the Wheeltec R550 AKM/DiffBot Ultra, Wheeltec R550 MecanumBot Ultra, Wheeltec R550 OmniBot, and Wheeltec R550 TrackedBot. For arm expansion, see the Wheeltec R550A 4DOF Arm ROS Kit.
| Brand | Wheeltec |
|---|---|
| Product Version | R550 4WDBot Ultra |
| Configuration Reference | R550 4WDBot Ultra version |
| Store SKU | Wheeltec-R5504 |
| Chassis Type | Four-wheel-drive 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 and human-robot interaction workflow testing |
| Wheel Type | 65mm rubber wheels |
| 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 | 266 206 193mm for the R550 four-wheel-drive reference configuration |
| Chassis Weight Reference | Approximately 2.68kg for the base four-wheel-drive chassis reference configuration; final configured kit weight may vary by installed modules |
| Load Capacity Reference | Up to 6kg for the four-wheel-drive chassis reference configuration |
| Maximum Speed Reference | Up to 1.2m/s for the four-wheel-drive 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 expansion resources |
| Low-Level Feedback | IMU, odometry feedback, battery voltage monitoring, and voltage-alarm related base functions in the R550 family |
| Item | Qty | Notes |
|---|---|---|
| Wheeltec R550 4WDBot Ultra robot platform | 1 | Four-wheel-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 |
Yes. This product is written for the R550 4WDBot Ultra configuration with Raspberry Pi 5, M10P TOF LiDAR, depth camera, and voice interaction module.
No. This is the four-wheel-drive differential chassis version with 65mm rubber wheels. It does not provide the same lateral translation behavior as a Mecanum or omni-wheel chassis.
The R550 four-wheel-drive chassis reference configuration lists up to 6kg load capacity. Final performance depends on installed modules, surface condition, battery state, and motion tuning.
Yes. The R550 family is positioned for ROS2 education and development, including mapping, navigation, perception, interaction, and modular expansion workflows.
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.
A flat indoor surface with good wheel traction is recommended for stable 4WD movement, cleaner odometry, and more reliable navigation behavior.
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