Price: $764.00
(as of Feb 04,2025 17:53:43 UTC – Details)
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Product Description
Note: Upgraded to compatible with raspberry pi5
The video showcases the product in use.The video guides you through product setup.The video compares multiple products.The video shows the product being unpacked.
ROSMASTER X3 is fully upgraded to ROS2 and compatible with Raspberry Pi5
ROSMASTERX3 is a educational robot developed based on ROS1 ROS2 robot operating system. It uses Jetson series board or Pi as the main controller, and is equipped with lidar and depth camera, which can realize mapping and navigation, human body feature recognition and other functions.
Interesting Features and Gameplay Function 1
Voice control multi-point navigation-The voice recognition module recognizes commands and controls ROSMASTER to navigate autonomously to specify coordinate points.Multi-robot synchronization control:One handle controls multiple robots in real time, completes neat and uniform movements.Multi-robot queue-Multiple robots maintain three formations in real time.KCF target tracking-Based image correlation KCF algorithm can select any object in the image and follow the target in real time. Function 2
Autopilot:Supports custom color selection, and the robot can automatically identify the color area to follow the line.Color Recognition/Tracking:Select a specific color area in the screen and let the robot track this color in real time.Lidar mapping and navigation avoiding:It can realize gmapping, hector, karto, cartographer mapping algorithms, support path planning, dynamic obstacle avoidance, single-point and multi-point navigation.
AR tag recognition and reality augmentation
Function 3
ORBSLAM2+Octomap mapping:ORB-SLAM2 is an open source SLAM framework that supports monocular, binocular, and RGB-D cameras. It can calculate the pose of the camera in real time and reconstruct the surrounding environment sparsely in 3D at the same time. In RGB-D mode, the real scale information can be obtained.Depth image data / point cloud image:The depth map, color map, and point cloud map of the camera can be obtained through the corresponding nodes.
ORBSLAM2 mapping
Function 4
Visual image beautification:The video image is transformed by OpenCV, and the corresponding algorithm is used to achieve the effect of image beautification.MediaPipe development:Through the MediaPipe development framework, the functions of hand detection, posture detection, overall detection, face detection, 3D detection and recognition are completed.
MediaPipe development
Function 5
RRT explores and builds maps independently:Set the exploration area, and use the RRT algorithm to realize autonomous exploration and mapping, map saving, and return to the origin point. Aluminum alloy material, Mecanum wheels 360掳omnidirectional movement.Professional hardware configuration, lidar, depth camera, voice interaction module, etc. Multi-platform interconnection remote control
ROSMASTER is equipped with 4 Mecanum wheels, which can realize 360° omnidirectional movement of the robotNot only does it support iOS/Android dual-system APP control, but it also provides a map navigation APP to meet the use of multi-scene APP control.It comes standard with a real-life person game controller, combined with a mobile phone APP, you can experience an immersive sense of control.
What You Can Learn, ROS2 Foxy, Docker NOTE
Introduction of Difference Accessories A1M8 lidar
A1M8 lidar adopts the measurement method of triangular ranging, the measurement radius is 0.15m~12m, sampling frequency is 8K. Combined with the ROS robot system, indoor mapping and navigation functions can be easily realized.
S2 lidar
S2 lidar adopts TOF ranging method, supports indoor and outdoor mapping and navigation, measurement radius supports 0.05m~30m, sampling frequency is 32K, scanning frequency is 8HZ~15HZ, and supports 1M communication rate.
depth camera
The depth camera platform supports left and right rotation and up and down manual adjustment, which can not only realize all the Al visual functions, but also realize advanced functions such as image data processing and 3D mapping navigation.
7 inch screen
Any configuration can be equipped with a this touch screen.The LCD screen is a convenient configuration, which is convenient for users to debug ROS robots.
voice module
Unique voice interaction module allows ROSMASTER to recognize voice and broadcast, and users can control the car through voice.
ROS robot expansion board
Designed for ROS robot car development, it can control and drive robot chassis such as Mecanum wheels, Ackerman wheels, four-wheel differential wheels, two-wheel differential omnidirectional wheels, and tracks. It supports the Raspberry Pi 5 power supply protocol and meets the power supply requirements of various ROS master controllers. The driver code and hardware schematics are open source.
Version, Size, Parameters
The Jetson Orin version has been upgraded to a 256GB SSD.
Yahboom AI ROBOT
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chassis
Large suspended mecanum wheel
Ackerman chassis
tank tracks
medium suspension mecanumwheel
Enclosed metal chassis
6DOF
tank tracks
radar
✔
✔
✔
✔
✔
✘
✘
depth camera
yes
yes
Optional version
yes
no
AI vision recognition camera
AI vision recognition camera
robot arm
yes
no
Optional version
no
yes
yes
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voice
yes
Optional version
no
Optional version
no
no
no
ROS robotic learning kit for multiple versions: Yahboom provides 4 development board versions of ROSMASRER X3, you can freely choose jetson series development board or Raspberry Pi 5, based on the different performance issues of these development boards, The smoothness of operation is worth considering, Yahboom recommends the cost-effective Jetson orin(For detailed and comprehensive introduction, please view the video on the details page: rosmaster x3)
In-depth exploration of AI algorithms and intelligent robots: ROSMASRER X3 is equipped with a depth camera, lidar, and voice interaction module, which can realize ROS operating system, RTAB 3D mapping navigation, PCL 3D point cloud, SLAM mapping navigation, Machine vision applications, Voice interactive control, Python programming, STM32 development, MediaPipe development, YOLO model training, TensorRT acceleration (Note: Different features depend on the version you choose)
Rich course materials and professional after-sales support team: We provides 103 dual-language video courses, and online technical assistance (China time). The course content includes: ROSMASTER X3 assembly, Linux operating system, ROS and openCV series courses, depth camera and lidar mapping and navigation explanation, from simple to in-depth learning of mapping and navigation, this is an in-depth learning process, but we recommend that there are Programming basic users to use this robot kit
Multi-platform linkage: rosmaster X3 supports a variety of remote control methods such as mobile phone APP, handle, ROS system, computer keyboard, etc. It can control your robot car at any time, import your code, and is an artificial intelligence robot that listens to your instructions. Note: The Map Navigation APP only supports Android phones
Application field: rosmaster X3 provides an exploration model for professionals, can learn algorithms, obtain terrain in an unknown field, can deeply learn AI visual recognition, research autonomous driving, explore 3D object recognition, etc.Fully upgraded the ROS2 course.
Excellent hardware configuration: aluminum alloy body, 360° omnidirectional Mecanum wheels, optional lidar, high-quality depth camera, optional voice interaction module, professionally designed expansion board. This is a professional ROS robot that supports more development. Users can develop and learn again in the existing courses. Note: Yahboom only provides technical assistance for existing courses. All in-depth development needs to be completed by customers themselves.
VERY IMPORTANT: All ROSMASTER X3 accessories without a development board are also different. For example: ROSMASTER X3 without Raspberry Pi and ROSMASTER X3 without Jetson Nano, there are different accessories in it, make sure what development board you will use in the future before ordering.
Comprehensive upgrade course, compatible with ros2 system, compatible with raspberry pi 5, you can choose the new generation of jetson orin nano/nx development board, the performance will be improved even more
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