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Yahboom ROSMASTER X3 PLUS with RaspberryPi 5 8GB board

Yahboom ROSMASTER X3 PLUS with RaspberryPi 5 8GB board

Original price was: $2,056.99.Current price is: $149.00.

Availability: In Stock

Yahboom ROSMASTER X3 PLUS with RaspberryPi 5 8GB board is an omnidirectional ROS robot platform for robotics education, AI application development, autonomous navigation experiments, and multi-sensor robot control practice. Yahboom positions the ROSMASTER X3 PLUS family as a ROS-based mobile robot system that supports controller options including Raspberry Pi 5, Jetson NANO 4GB, Jetson Orin NANO SUPER, and Jetson Orin NX SUPER.

This version is aligned to Yahboom’s official With / RPi 5-8GB configuration, with official variant SKU 3000200984. The platform is listed with key hardware such as lidar, depth camera, 6DOF robotic arm, 520 high-power motor, voice recognition interactive module, and an HD 7-inch display screen.

For students, developers, and lab teams, ROSMASTER X3 PLUS can support practical learning in ROS programming, mapping and navigation, automatic driving, human feature recognition, MoveIt robotic arm simulation control, and multi-machine synchronous control. Yahboom also provides tutorial resources and code materials for this robot platform.

Features

  • ROS-based robot platform – Developed around the ROS robot operating system for robotics learning, development, and experiment workflows.
  • Raspberry Pi 5 8GB configuration – Prepared for the official With / RPi 5-8GB ROSMASTER X3 PLUS variant.
  • Omnidirectional mobility – Yahboom describes ROSMASTER X3 PLUS as an omnidirectional movement robot for flexible mobile robot control.
  • Integrated perception hardware – The platform is listed with lidar and depth camera hardware for perception, mapping, and vision-related experiments.
  • 6DOF robotic arm – Includes a 6DOF robotic arm for manipulation learning and MoveIt simulation control practice.
  • 520 high-power motor system – Yahboom lists 520 high-power motor hardware as part of the ROSMASTER X3 PLUS platform.
  • Voice and display interaction – The official description includes a voice recognition interactive module and HD 7-inch display screen.
  • Mapping and navigation support – Suitable for APP mapping, navigation, and mobile robot path-planning experiments.
  • AI robotics applications – Yahboom mentions automatic driving and human feature recognition as supported application directions.
  • Multi-machine synchronous control – Designed for advanced scenarios such as coordinated robot demonstrations and multi-robot study.
  • Multiple remote-control methods – The official page states support for mobile phone, handle, and computer keyboard remote control.
  • Learning resource ecosystem – Yahboom provides tutorial, code, and study resources for ROSMASTER X3 PLUS users.

Specifications

Parameter Value
Model ROSMASTER X3 PLUS
Brand Yahboom
Product Type ROS omnidirectional robot platform
Selected Configuration With / RPi 5-8GB
Official Variant SKU 3000200984
Controller Board Raspberry Pi 5 8GB
Operating Framework ROS robot operating system
Mobility Type Omnidirectional movement robot
Supported Controller Family Jetson NANO 4GB, Jetson Orin NX SUPER, Jetson Orin NANO SUPER, Raspberry Pi 5
Listed Sensors Lidar, depth camera
Listed Manipulator 6DOF robotic arm
Drive Hardware 520 high-power motor
Interactive Hardware Voice recognition interactive module, HD 7-inch display screen
Control Methods Mobile phone, handle, computer keyboard remote control

Reference Documents

  • Yahboom ROSMASTER X3 PLUS Tutorial Center
  • Yahboom ROSMASTER X3 PLUS GitHub Repository

Application

  • ROS education – Supports structured learning for ROS programming, robot control, and mobile robot system integration.
  • Autonomous navigation – Suitable for mapping, navigation, path planning, and APP-based robot navigation experiments.
  • AI mobile robotics – Can be used for automatic driving and perception-assisted robot behavior development.
  • Machine vision learning – Provides a platform for depth camera and human feature recognition workflows.
  • Robotic arm simulation – Supports MoveIt robotic arm simulation control study based on the listed 6DOF robotic arm.
  • Multi-robot research – Suitable for multi-machine synchronous control demonstrations and related robotics lab projects.
  • Embedded robotics projects – Gives Raspberry Pi 5 users a mobile ROS platform for software, control, and AI experiments.
  • Remote operation practice – Useful for testing phone, handle, and keyboard-based robot control workflows.

Packing List

Description Quantity
Yahboom ROSMASTER X3 PLUS robot platform with Raspberry Pi 5 8GB board 1

FAQ

Which configuration is this product description prepared for?

This description is prepared for the official Yahboom With / RPi 5-8GB configuration, with official variant SKU 3000200984.

How is this different from the Orin NX SUPER 16GB version?

This version uses a Raspberry Pi 5 8GB controller board. It should not be mixed with the Jetson Orin NX SUPER 16GB configuration, which is a different controller option in the ROSMASTER X3 PLUS family.

What operating framework does ROSMASTER X3 PLUS use?

Yahboom states that ROSMASTER X3 PLUS is developed based on the ROS robot operating system.

What type of robot platform is it?

The official description presents ROSMASTER X3 PLUS as an omnidirectional movement robot.

What hardware does Yahboom list for this platform?

Yahboom lists lidar, depth camera, a 6DOF robotic arm, 520 high-power motor, a voice recognition interactive module, and an HD 7-inch display screen for the ROSMASTER X3 PLUS platform.

What applications are supported?

The official description mentions APP mapping and navigation, automatic driving, human feature recognition, MoveIt robotic arm simulation control, and multi-machine synchronous control.

How can the robot be controlled remotely?

According to Yahboom, ROSMASTER X3 PLUS supports remote control through mobile phones, handles, and computer keyboards.

Are learning resources available?

Yes. Yahboom provides a ROSMASTER X3 PLUS tutorial center and GitHub code resources for study, setup, and development reference.

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