Wheeltec R550 AKM/DiffBot Ultra RPi5 M10P Depth Voice ROS2 Kit
Wheeltec R550 AKM/DiffBot Ultra RPi5 M10P Depth Voice ROS2 Kit Wheeltec R550 AKM/DiffBot Ultra is the updated Ackermann / differential-drive version of the R550 ROS2 education robo t platform. This configuration is rebuilt around Raspberry Pi 5, M10P TOF LiDAR, a depth camera, and a voice interaction module, giving robotics learners and labs a more current stack for navigation, perception, interaction, and open-source development. The AKM/DiffBot chassis keeps the R550 family’s compact teaching-oriented structure while focusing on car-like steering and differential motion experiments. It is suitable for users who need a structured ROS2 robot kit with STM32 low-level control, encoder feedback, IMU / odometry feedback, LiDAR mapping, depth vision, voice interaction, and expandable software resources. For other R550 chassis choices, compare the Wheeltec R550 MecanumBot, Wheeltec R550 OmniBot, and Wheeltec R550 TrackedBot. Technical Specifications Parameter Details Brand Wheeltec Product Version R550 AKM/DiffBot Ultra Store SKU Wheeltec-R550A Chassis Type Ackermann / 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, voice feedback, and human-robot interaction workflow testing 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 271 x 189 x 151mm for the R550 Ackermann / differential chassis reference configuration Chassis Weight Reference Approximately 1.8kg for the base Ackermann / differential chassis reference configuration; final configured kit weight may vary by installed modules Load Capacity Reference Up to 3kg for the Ackermann / differential chassis reference configuration Maximum Speed Reference Up to 1.2m/s for the Ackermann / differential 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. ROS2 setup: Treat the kit as a ROS2 learning and development platform. Confirm the shipped image, package branch, and tutorial version before starting classroom or lab deployment. Motion model: The AKM/DiffBot version is not the same as a Mecanum or omni chassis. Use motion parameters and navigation settings that match Ackermann / differential behavior. Perception calibration: Keep the M10P LiDAR level, secure the depth camera mount, and verify sensor frames before mapping, depth following, or visual navigation tests. Expansion planning: Reserve enough power and mounting space for extra sensors, edge-compute accessories, or payload modules, and retune navigation parameters after changing payload weight. For higher-mobility or expansion alternatives, see the Wheeltec R550 4WDBot and Wheeltec R550A 4DOF Arm ROS Kit. Packing List Item Qty Notes Wheeltec R550 AKM/DiffBot Ultra robot platform 1 Ackermann / differential-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 FAQ Q: Is this the updated Ultra version?A: Yes. This description is written for the updated R550 AKM/DiffBot Ultra configuration with Raspberry Pi 5, M10P LiDAR, depth camera, and voice interaction module. Q: Is this the Mecanum chassis?A: No. This product is the AKM/DiffBot version, focused on Ackermann / differential-drive behavior rather than Mecanum omnidirectional movement. Q: Does it support ROS2?A: Yes. The R550 family is positioned as a ROS2 education robot platform, and this kit is written for ROS2 development and learning workflows. Q: What sensors are included in this configuration?A: 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. Q: Can it be used for mapping and navigation?A: Yes. The robot is built for LiDAR mapping, navigation, odometry feedback, and ROS2 robot development workflows when the software image and calibration are correctly configured.
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