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Yahboom - ROSMASTER X3 - ROS2 Robot
As low as £704.80 £587.33
ROSMASTER X3 is an educational robot based on the robot operating system with Mecanum Wheel, compatible with Jetson NANO/Orin NX/Orin NANO and Raspberry Pi 4B. It is equipped with lidar, depth camera, voice interaction module and other high-performance hardware modules. Using Python programming, ROSMASTER X3 can realize mapping and navigation, following or avoiding, Autopilot and human body posture detection. It support APP remote control, APP mapping navigation, handle remote control, ROS system PC control and other cross-platform remote control methods. We provide 103 video courses and a large number of codes, which can allow users to learn artificial intelligence programming and ROS systems.
SKU
YB-X3
ROSMASTER X3 is an educational robot based on the robot operating system (ROS) with Mecanum Wheels, compatible with Jetson NANO/Xavier NX/TX2 NX and Raspberry Pi 4B.
It is equipped with a lidar, depth camera, voice interaction module and other high-performance hardware modules.
Using Python programming, ROSMASTER X3 can do mapping and navigation, following or avoiding, Autopilot and human body posture detection.
It supports APP remote control, APP mapping navigation, handle remote control, ROS system PC control and other cross-platform remote control methods.
Yahboom provides 103 video courses and a large number of codes, which can allow users to learn artificial intelligence programming and ROS systems.
ORBSLAM2 mapping
Depth Image Data / Point Cloud Image
RRT Explores and Builds Maps Independently
AR Tag Recognition / AR Reality Augmentation
Visual Image Beautification
Colorful Tailights
AI Deep Learning Framework
Mecanum Wheels
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.
RTAB-Map 3D Visual mapping and navigation:
Using the RTAB algorithm to integrate vision and radar, the robot realizes 3D visual mapping and navigation and obstacle avoidance, and supports global relocation and autonomous positioning.
MediaPipe development:
Through the MediaPipe development framework, the functions of hand detection, posture detection, overall detection, face detection, 3D detection and recognition are completed.
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.
Multi-robot navigation:
Multiple robots are on the same map to achieve single-point navigation, multi-point navigation, and dynamic obstacle avoidance.
ORBSLAM2 mapping:
Fully automatic initialization using ORB feature extraction method.
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.
Multi-robot synchronization control:
One handle controls multiple robots in real time, completes neat and uniform movements, and realizes the function of synchronous control.
Multi-robot queue show:
Multiple robots maintain three formations in real time.
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.
Voice Interactive Control
Multi-Robot Synchroonization Control
Multi-Robot Queue Show
KCF Target Tracking / Color Recognition / Tracking Lidar Guard
Autopilot
Lidar Obstacle Avoidance
Lidar Tracking
Intelligent Patrol
| Manufacturer | Yahboom |
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