$779.90 – $2,409.90Yahboom store, October 2026. Every kit includes an Orbbec DaBai DCW2 depth camera and lidar. Standard $779.90 without a board (needs a Pi 5 8 GB, cheapest version with a depth camera), $959.90 with RDK X5 8 GB (cheapest with a board), $1,109.90 with Pi 5 8 GB, $1,459.90 with Orin Nano Super 8 GB. Superior adds a 7-inch display, $879.90 without a board and $1,209.90 to $1,859.90 with one. Ultimate adds a second T-mini Plus lidar and the display, $999.90 without a board and $1,329.90 to $2,409.90 (Orin NX Super 16 GB). Battery and charger are included.
AvailableVia SSH / web / bridgeROS 2LidarDepth cameraMecanum wheelsRDK X5
Weeks+Shipping: ~1–2 wks (est.). Ships from Yahboom in Shenzhen, China. Yahboom's shipping policy says orders are usually processed within 24 hours and shipped the next business day, most arrive within 6 working days after dispatch, and orders over $499 ship free by DHL, UPS or FedEx. Import duties and taxes are paid by the buyer. An Amazon US listing that appears to be the M3 with an Orin Nano Super and dual lidar shows up in search results, but it was not opened, so price and Prime status are unconfirmed. Yahboom ↗
Remote control: ROS 2 Humble runs on the robot's board (in Docker on the Pi 5, native on RDK X5 and Jetson Orin). A laptop connects over SSH, VNC or ROS 2 networking for RViz, and a mapping and navigation phone app is available.
Overview
Yahboom's 2026 mecanum rover with suspension, sitting above the ROSMASTER M1 and ROSMASTER A1. Unlike those two, every M3 kit includes a depth camera, an Orbbec DaBai DCW2 with a 0.15 m minimum range, which suits close-range following. The course is one of Yahboom's most complete, with Nav2, RTAB-Map, YOLOv11 on the depth camera and LLM chapters, and Yahboom recommends an Orin board for smooth LLM use. The Pi 5 runs YOLOv11 at about 4 fps by Yahboom's own figures, and the board-included kits start near $960.
Specifications
| Category | Wheeled rovers · Ready-made dev rovers |
|---|---|
| Released | 2026 |
| Country | China |
| Availability | Available |
| Programmability | Full SDK |
| Built-in autonomy | Navigates · Goes to places on its own, such as mapped rooms, waypoints or its charging dock |
| LLM support | Official LLM tools · Yahboom's M3 course has text and voice LLM chapters using Dify, where a decision model plans tasks and an execution model calls robot actions, including multimodal visual understanding with SLAM navigation, road-network navigation and intention estimation. Offline and online model chapters are included. Yahboom tutorials ↗ |
| MuJoCo simulation | None found · Nothing found. |
| NVIDIA Isaac simulation | None found · Nothing found. |
| Gazebo simulation | None found · The course has a robot URDF model chapter and a general ROS 2 Gazebo lesson, and a 3D model file is offered for download, but no M3-specific Gazebo simulation was confirmed. Yahboom tutorials ↗ |
| Best for | Ages 14+ (estimated) |
| Vision sensors | Lidar, Depth camera, Camera |
| Actuators | DC / gear motors |
| Audio | Speaker, Microphone |
| Compute type | Raspberry Pi, Other ARM chip, NVIDIA Jetson, Arduino / ESP32 / microcontroller |
| Remote control | Via SSH / web / bridge |
| Size | 23.7×21.2×17.4 cm (Standard), 27.7×21.2×19.9 cm (Superior/Ultimate), 2.88–3.44 kg |
| Drive | 4 nylon mecanum wheels, 4 520 encoder metal motors (1:56), pendulum-style independent suspension |
| Compute | Raspberry Pi 5 8 GB, RDK X5 8 GB, Jetson Orin Nano Super 8 GB or Orin NX Super 8/16 GB, plus Yahboom's STM32 control board with micro-ROS |
| Vision | Orbbec DaBai DCW2 binocular structured-light depth camera, 0.15–3 m (0.15–5 m in high-power mode), 640×400 depth |
| Lidar | YDLIDAR T-mini Plus 360° ToF lidar 0.05–12 m, two of them on the Ultimate kit |
| Sensors | 9-axis IMU, wheel encoders, OLED display, RGB light strip, AI voice module with microphones and speaker, 7-inch display (Superior/Ultimate) |
| Runtime | About 3 h (12.6 V 6,000 mAh battery) |
| Speed | Not published |
| SDK | ROS 2 Humble, Python, Gmapping, Cartographer and slam_toolbox SLAM, lifelong mapping, Navigation2 single- and multi-point navigation, RTAB-Map mapping and navigation, road-network planning, YOLOv11 detection and tracking on the depth camera, depth ranging and following, MediaPipe, Dify-based LLM text and voice interaction |
Ratings & reviews
Ratings and reviews load on the live site.
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