Yahboom ROSMASTER X3 PLUS ROS Robot with Mecanum Wheels & 6DOF Arm for Jetson Nano 4GB/Orin SUPER/RPi 5

Overview

Yahboom ROSMASTER X3 PLUS is a ROS robot (ROS educational robot) with mecanum-wheel omnidirectional movement, developed on the ROS robot operating system. It supports four controllers: Jetson NANO 4GB, Jetson Orin NX SUPER, Jetson Orin NANO SUPER, and Raspberry Pi 5. The platform integrates LiDAR, a depth camera, a 6DOF robotic arm, a voice recognition interaction module, 520 encoder reduction motors, and an HD 7-inch touch screen for ROS development and AI/vision learning workflows such as mapping and navigation, human feature recognition, and MoveIt simulation/control.

Key Features

• Omnidirectional mecanum-wheel mobile base with pendulum suspension chassis
• 6-DOF AI vision robotic arm and MoveIt simulation/control support
• LiDAR SLAM, path planning, and navigation workflows (including gmapping/hector/karto/cartographer support as labeled)
• Depth camera functions including point cloud, ORB-SLAM2 + Octomap mapping, and RTAB-Map 3D visual mapping/navigation
• Robot voice interaction module for voice control of movement and navigation (as listed)
• Multiple control methods supported: mobile phone, handle, and computer keyboard; also VNC/Jupyter/SSH remote control options are listed
• Most structural parts are pre-assembled; after receiving, only the main control board installation/connection is required to use it

Specifications

Robot Platform

Main Control Board Options (as listed)

ROSMASTER X3 PLUS is deeply adapted to Raspberry Pi 5 and can provide a stable 5.1V/5A power supply for Raspberry Pi 5 (as described).

Functions List

Depth Camera

1. Real-time web monitoring
2. ArTag pose estimation
3. AR special effects
4. QR code creation
5. QR code recognition
6. Skeleton detection
7. Finger following
8. Camera calibration
9. MediaPipe development
10. Color tracking
11. KCF object tracking
12. Visual tracking
13. ORBSLAM2 mapping
14. ORBSLAM2 + Octomap
15. Rtabmap 3D mapping
16. Rtabmap 3D navigation
17. yolov4-tiny object recognition
18. yolov5 + TensorRT object recognition
19. yolov11 + TensorRT object recognition
20. yolov5 to train traffic signs
21. TensorRT to accelerate sign recognition

YDLIDAR 4ROS LiDAR

1. Mapping mapping algorithm
2. Hector mapping algorithm
3. Karto mapping algorithm
4. Cartographer mapping algorithm
5. RRT exploration mapping
6. LiDAR fixed-point navigation
7. LiDAR multi-point navigation
8. TEB and DWA path planning
9. LiDAR obstacle avoidance
10. LiDAR tracking
11. LiDAR guard
12. LiDAR patrol
13. ROS APP mapping
14. ROS APP navigation
15. Multi-vehicle navigation
16. Multi-vehicle formation
17. Multi-vehicle surround

6DOF Robotic Arm

1. MoveIt configuration
2. MoveIt control the real machine
3. MoveIt moves randomly
4. MoveIt kinematics design
5. MoveIt cartesian path
6. MoveIt avoid
7. MoveIt sensing
8. MoveIt trajectory planning
9. MediaPipe palm control car
10. MediaPipe gesture control robotic arm
11. MediaPipe gesture control car
12. MediaPipe arm attitude control robotic arm
13. MediaPipe recognizes and tracks palm control robotic arm
14. Recognizes color block and handling
15. Autopilot to clear obstacles

AI Voice Interaction Module

1. Introduction of voice module and port binding
2. Command wake-up
3. Voice control car movement
4. Voice control autopilot
5. Voice control color recognition
6. Voice control color tracking
7. Voice control multi-point navigation
8. Robotic arm voice functions

ROS Robot Expansion Board

1. Serial communication
2. Control servo
3. 9-axis attitude sensor
4. Battery voltage detection
5. CAN bus communication
6. SBUS model aircraft remote control
7. Control buzzer
8. Control RGB light bar

ROS Master Control (as listed)

1. VNC remote control
2. Jupyter lab remote control
3. SSH remote control
4. Keyboard control
5. Handle control
6. APP gravity sensor control
7. APP image transmission and software control
8. Multi-machine communication configuration
9. GPU acceleration*
10. TensorRT acceleration*
11. Robot serial port communication
12. IMU and odometer data release
13. Set static IP or hotspot mode
14. qr real-time PID control
15. Linear velocity and angular velocity are more accurate
16. OLED screen display

Note: Items marked with * indicate that only Jetson series control boards are available.

Applications

• APP mapping and navigation (iOS/Android are listed)
• LiDAR scanning mapping and autonomous navigation (single-point and multi-point navigation are listed)
• RTAB-Map 3D visual mapping navigation and global relocalization (as described)
• Human feature recognition and visual tracking (as described/listed)
• MoveIt robotic arm simulation control and kinematics/path planning learning
• Multi-machine synchronous control and multi-vehicle navigation/formation (as listed)

Tutorials & Video

Tutorial link (official): http://www.yahboom.net/study/ROSMASTER-X3-PLUS

For configuration selection or technical support before purchase, contact https://rcdrone.top/ or email support@rcdrone.top.

Details

ROSMASTER X3 PLUS combines an omnidirectional mecanum base with LiDAR, a depth camera, and a 6‑DOF arm for ROS learning.

Choose a main controller—Raspberry Pi 5 or NVIDIA Jetson options—to match your ROS performance and AI workload needs.

Key hardware highlights include mecanum wheels with pendulum suspension, a 6‑DOF arm, and YDLIDAR-based SLAM support.

Controller selection details help plan compute, memory, and power for tasks like mapping, navigation, and vision pipelines.

Accessory overview covers the included sensing and interaction hardware used across the ROS tutorials and demos.

The large aluminum-alloy chassis and pendulum suspension improve wheel contact on uneven surfaces for smoother motion control.

LiDAR workflows support mapping and navigation, including common SLAM stacks and path planning for autonomous driving.

Depth camera pipelines enable point clouds and 3D mapping options such as ORB‑SLAM2 + Octomap and RTAB‑Map.

MoveIt-focused arm examples cover kinematics (URDF), grasping tasks, tracking, and practical pick-and-place exercises.

Multiple control options are available, including remote access methods, formation/coordination demos, and voice interaction.

ROSMASTER X3 Plus supports cross-platform control via iOS/Android remote and mapping apps, plus keyboard, Jupyter Lab, and ROS system interfaces.

The ROS robot kit includes large language model demo cases to help developers get started with platforms like DeepSeek, Qwen, Meta, and Gemma.

ROSMASTER X3 Plus supports RViz simulation control and data visualization to help with algorithm testing and debugging.

The ROSMASTER X3 PLUS course content outlines setup, assembly, and a structured set of ROS programming and robotics lessons.

Yahboom ROSMASTER X3 PLUS includes access to tutorials and course materials covering Linux basics, OpenCV, and ROS setup and tools.

The ROSMASTER X3 PLUS learning content covers robot control basics plus lidar mapping, multi-robot control, deep learning, and voice interaction modules.

The ROSMASTER X3 PLUS includes English-subtitled video tutorials covering setup, modules, sensors, and ROS learning projects.

The ROSMASTER X3 PLUS robot structure combines a 7-inch display, lidar and camera modules, control/expansion boards, and mecanum wheels for a complete build.

The ROSMASTER X3 Plus combines a laser lidar and depth camera on a sensor mast with a 6‑DOF robotic arm for navigation and pick-and-place experiments.

The ROSMASTER X3 PLUS platform supports an expansion board, an AI voice interaction module, and an optional 7-inch touch screen for control and feedback.

Yahboom ROSMASTER X3 Plus dimension diagrams and 7-inch HD touch screen measurements help plan mounting and overall fit.

ROSMASTER X3 PLUS supports Raspberry Pi or Jetson controllers, with listed sensor inputs, Wi‑Fi communication, and a 12.6V 6600mAh battery pack.

The ROSMASTER X3 Plus kit includes the chassis hardware, electronic control parts, ROS master control options, and accessories like a camera and mounting bracket.

The Yahboom ROSMASTER X3 PLUS ROS robot comes with a robotic arm on a wheeled chassis and a hard aluminum carrying case for transport.