Yahboom ROSMASTER R2 ROS2 Ackermann Robot Car w/ Voice Module

Overview

ROSMASTER R2 is a ROS2 robot car with an Ackermann steering structure and an AI voice interaction module. It is developed based on the ROS2 system (also supporting ROS1/ROS2 system images) and supports Jetson NANO (B01/SUB), Jetson Orin NANO SUPER, Jetson Orin NX SUPER, and Raspberry Pi 5 as the main control board. The maximum speed is 1.8 m/s.

The platform is designed for ROS development and learning workflows such as SLAM mapping/navigation, path planning, and AI vision applications using a depth camera and LiDAR.

Key Features

Ackermann ROS2 robot platform: ROS development, SLAM mapping navigation, fully supports ROS2, Ackermann steering structure, and robotic voice interaction.
Sensor-ready hardware set: supports LiDAR and an Astra Pro depth camera for mapping/navigation and depth/point cloud applications.
AI vision & perception software topics (as provided in learning content): YOLO model training, MediaPipe machine learning, OpenCV image processing, ORBSLAM2 mapping, RTAB 3D real scene mapping, AR tags, color/KCF tracking, and visual recognition/target tracking.
Navigation & mapping topics (as provided in learning content): Gmapping, Cartographer, 3D mapping vision, RRT exploration, LiDAR scanning mapping, and dynamic avoiding.
Remote control methods: iOS/Android app control, wireless handle control, keyboard control, and ROS system control; also supports Jupyter-based control.
Chassis details: aluminum alloy Ackermann chassis; anti-collision bar design; racing anti-skid soft rubber tires with embedded sponge liner recovery.
Steering servo: equipped with a 20KG high-torque intelligent servo for steering power.
New-generation controller support: supports Jetson Orin SUPER series and Raspberry Pi 5; Raspberry Pi 5 adaptation includes a stable 5.1V/5A power supply design.

Specifications

Product	ROSMASTER R2 Ackermann ROS2 Robot (robot car)
Max speed	1.8 m/s
Steering structure	Ackermann steering
Chassis	Aluminum alloy Ackermann chassis; anti-collision bar
Tires	Racing rubber wheel; soft rubber anti-skid tire with embedded sponge liner
Drive motors	520 Motor *4
Steering servo	Metal servo *1; 20KG high-torque intelligent servo
Motor reduction ratio	1:19
Voice interaction	Yes
Camera	Astra Pro depth camera (Astra Pro Plus depth camera is referenced in version comparison)
LiDAR options	SLAM A1 / YDLIDAR 4ROS
SLAM A1M8 LiDAR details	Triangular ranging; measurement radius 0.15 m to 12 m; sampling frequency 8K
YDLIDAR 4ROS details	TOF ranging; 100Klux strong light resistance; indoor/outdoor mapping navigation; measurement radius 30 m; sampling frequency 20K; scanning frequency 5 to 12 Hz; supports 512000 bps communication rate
Supported main control boards	Jetson Nano B01 4GB; Jetson NANO 4GB SUB; Jetson Orin Nano SUPER 4GB/8GB; Jetson Orin NX SUPER 8GB/16GB; Raspberry Pi 5 (8GB referenced)
Reference AI performance (controller)	Jetson Orin NX SUPER 16GB: 157 TOPS; Jetson Orin NX SUPER 8GB: 117 TOPS; Jetson Orin Nano SUPER 8GB: 67 TOPS; Jetson Orin Nano SUPER 4GB: 34 TOPS; Jetson Nano B01 4GB: 0.5 TFLOPS; Raspberry Pi 5: close to Jetson Nano B01
Provided system images (referenced)	Raspberry Pi / Jetson Nano: ROS1 Melodic, ROS2 Foxy; Orin series: Ubuntu 22.04 LTS + ROS2 Humble
Patent (Ackermann chassis)	Patent number 2022208771981

Version Options

Standard version: SLAM A1 LiDAR; depth camera; main control: Raspberry Pi 5 or Jetson NANO 4GB SUB.
Superior version: adds a 7-inch display screen (for installation/debugging); main control: Raspberry Pi 5, Jetson NANO 4GB SUB, Jetson Orin NANO SUPER, Jetson Orin NX SUPER.
Ultimate version: adds AI voice interaction module; upgrades LiDAR from SLAM A1 to YDLIDAR 4ROS; includes a 7-inch display screen; main control: Raspberry Pi 5, Jetson NANO 4GB SUB, Jetson Orin NANO SUPER, Jetson Orin NX SUPER.

Applications

ROS/ROS2 learning and development (robot communication, nodes, and middleware practice)
SLAM mapping and navigation, path planning, and obstacle avoidance learning projects
Depth camera and LiDAR point cloud processing and 3D mapping topics
AI vision projects (YOLO/MediaPipe/OpenCV topics as included in tutorials)
Autopilot scenario learning topics (road detection, lane keeping, autonomous parking, steering decision)

Note: Autopilot model training reference cases are provided for the R2L car model; the R2 car model cannot directly use those cases, and development is required to build models based on the camera and map scenes.

Tutorials

Tutorial link (official study page): http://www.yahboom.net/study/ROSMASTER-R2

For configuration guidance (including version selection and sensor/controller combinations), contact customer support at https://rcdrone.top/ or support@rcdrone.top.

Details

ROSMASTER R2 ROS2 Ackermann robot car with LiDAR tower and depth camera for SLAM and navigation learning

ROSMASTER R2 combines Ackermann steering with ROS2-ready hardware for mapping, navigation, and AI vision projects.

ROSMASTER R2 Ackermann ROS2 robot overview highlighting SLAM mapping, navigation, and AI voice interaction module

Built for ROS development workflows, the platform supports SLAM mapping/navigation plus onboard AI voice interaction.

Controller compatibility chart for ROSMASTER R2 showing support for Jetson Orin SUPER series and Raspberry Pi 5

Choose the main controller that fits your workload—options include Jetson Orin SUPER boards and Raspberry Pi 5.

Upgrade timeline graphic comparing ROSMASTER R2 generations, controller support, and included sensors like Astra depth camera

The updated generation adds broader controller support and expanded learning content for ROS1/ROS2 users.

ROS1/ROS2 system image guide explaining ROS2 basics, ROS1-to-ROS2 comparison, and Docker container support

Prebuilt ROS1/ROS2 images and Docker-based deployment help streamline setup for development and teaching labs.

ROS robot selection suggestions highlighting Ackermann steering chassis versus mecanum wheel chassis for learning projects

Ackermann steering is recommended for car-like driving and autopilot-style navigation experiments.

Specification comparison row for ROSMASTER X1 listing chassis, motors, LiDAR options, camera, and voice interaction

ROSMASTER R2 specs table showing Ackermann steering chassis, 520 motors, LiDAR options, Astra Pro depth camera, voice control

Core hardware includes an Ackermann chassis, 520 motors, LiDAR options, and an Astra Pro depth camera for perception tasks.

Specification comparison row for ROSMASTER X3 with mecanum chassis, motor ratio, LiDAR options, Astra Pro camera, voice interaction

Specification comparison row for ROSMASTER X3 Plus listing mecanum chassis, 6DOF robotic arm, YDLIDAR 4ROS and camera

Main control selection table comparing Raspberry Pi 5 and NVIDIA Jetson boards with CPU, RAM, storage, and power notes

Performance and power draw vary by controller, making it easy to match compute needs to your ROS workload.

Version differences chart for standard, superior, and ultimate kits with optional LiDAR, Astra Pro camera, voice module, display

Different kit versions let you add sensors and interaction modules based on your mapping and AI goals.

Ackermann chassis steering geometry graphic showing turning radius, patented structure, anti-collision bar, and tire details

The aluminum Ackermann chassis is designed for stable steering, with protective structure details called out for study and maintenance.

Autopilot capability infographic for ROSMASTER R2 covering road detection, lane keeping, autonomous parking, and steering decisions

Autopilot learning topics include lane keeping, road detection, steering decisions, and parking workflows.

Autopilot track map poster with road signs and labeled route layout for navigation practice scenarios

Functions list poster for ROSMASTER R2 showing supported nodes for depth camera, LiDAR, voice module, and ROS control methods

A broad set of ROS topics is provided across sensing, navigation, voice interaction, and remote control methods.

ROS-related functions panel for LiDAR mapping, autonomous exploration, path planning navigation, obstacle avoidance, voice navigation

LiDAR-focused demos cover mapping, exploration, path planning, obstacle avoidance, and voice-guided point navigation.

Depth camera related functions panel with depth/point cloud output, ORB-SLAM2 + Octomap mapping, and RTAB-Map 3D navigation

Depth-camera workflows include point clouds plus SLAM options such as ORB-SLAM2/OctoMap and RTAB-Map 3D navigation.

Infographic showing ROSMASTER R2 AI vision functions like MediaPipe interaction, AR tag and color recognition, and target tracking

ROSMASTER R2 includes AI visual recognition options such as MediaPipe-based interaction, AR tag and color recognition, and target tracking, plus multi-robot formation control.

ROSMASTER R2 ROS2 Ackermann robot feature graphic showing mobile app, gamepad remote control, and voice interaction modes

ROSMASTER R2 supports mobile app or gamepad remote control, plus optional voice interaction features like color recognition and tracking.

ROSMASTER R2 cross-platform app control infographic showing iOS/Android remote and mapping navigation apps for ROS1/ROS2

ROSMASTER R2 supports iOS/Android remote control and mapping navigation apps, along with options like keyboard, Jupyter Lab, and ROS system control.

ROS2 Ackermann robot infographic showing RViz simulation control screenshot and large language model case support logos

ROSMASTER R2 resources include RViz simulation control examples and large language model case references for ROS2 learning.

ROSMASTER R2 course content table outlining ROS2 Ackermann robot lessons and training modules

ROSMASTER R2 course content is organized into step-by-step ROS2 lessons and module topics for building and controlling an Ackermann robot.

ROSMASTER R2 gift info page on a laptop, showing ROS1 Melodic tutorial folders and course links for the robot kit

ROSMASTER R2 includes a download page with ROS tutorial folders and course outlines to help you get started with setup and programming.

Screenshot of ROS2 Foxy/Humble tutorial folders and ROS2 basic video lesson thumbnails with English subtitles

ROSMASTER R2 includes ROS2 Foxy/Humble tutorial resources covering topics like Linux, Docker, lidar, OpenCV, and basic ROS2 lessons with English subtitles.

ROSMASTER R2 ROS2 Ackermann robot resource page with video tutorials and open-source Python code files

ROSMASTER R2 includes downloadable resources with English-subtitled video tutorials and open-source Python code for ROS2 development.

Exploded view of ROSMASTER R2 ROS2 Ackermann robot chassis with optional 7-inch screen, lidar, depth camera and battery pack.

ROSMASTER R2 uses an Ackermann steering chassis with expansion boards, encoder motors, battery pack, and optional modules like lidar, depth camera, and a 7-inch display.

ROSMASTER R2 Ackermann robot with SLAM A1 or YDLIDAR 4ROS lidar option and Astra Pro Plus 2MP depth camera

ROSMASTER R2 supports either SLAM A1 or YDLIDAR 4ROS laser lidar, plus an Astra Pro Plus depth camera upgraded to 2MP for perception.

ROS robot expansion board and AI voice interaction module layout for the ROSMASTER R2 Ackermann robot

The ROS robot expansion board and AI voice interaction module integrate with the ROSMASTER R2 chassis to support sensor connections and voice control features.

ROSMASTER R2 ROS2 Ackermann robot dimension drawing with side/front views and 7-inch HD touch screen measurements

ROSMASTER R2 dimension views provide key overall length and width references, along with 7-inch HD touch screen sizing for enclosure planning.

ROSMASTER R2 Ackermann ROS2 robot spec sheet with Raspberry Pi/Jetson options, I/O and remote control details

ROSMASTER R2 Ackermann ROS2 robot supports Raspberry Pi 5/4 or Jetson Orin Nano/AGX, with camera/SLAM/LiDAR inputs and app or remote control options.

ROSMASTER R2 ROS2 Ackermann robot shipping list showing chassis, control boards, camera module, cables and accessories

The ROSMASTER R2 kit includes the Ackermann steering chassis, electronic control boards, camera module, wiring, and assorted mounting accessories for assembly.