ROSMASTER X3 ROS2 Robot Mecanum Wheel Aluminum Alloy Frame Autopilot Lidar Mapping for Jetson NANO Orin NX Orin NANO RaspberryPi

ROSMASTER X3 ROS2 Robot Mecanum Wheel Aluminum Alloy Frame Autopilot Lidar Mapping for Jetson NANO Orin NX Orin NANO RaspberryPi

Stan without NANO
Sale price  $729.68 Regular price $887.88
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ROSMASTER X3 ROS2 Robot Mecanum Wheel Aluminum Alloy Frame Autopilot Lidar Mapping for Jetson NANO Orin NX Orin NANO RaspberryPi
1/23

ROSMASTER X3 ROS2 Robot Mecanum Wheel Aluminum Alloy Frame Autopilot Lidar Mapping for Jetson NANO Orin NX Orin NANO RaspberryPi

Sale price  $729.68 Regular price $887.88
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ROSMASTER X3 ROS2 Robot Mecanum Wheel Aluminum Alloy Frame Autopilot Lidar Mapping for Jetson NANO/Jetson Orin NX/Jetson Orin NANO/RaspberryPi5/4B

Note: This robot car will not work without a Jetson board, if you do not have a Jeston board, please choose the version with Jetson board.
The product's SKU picture of the product shows the shipping list of the corresponding version.


Description

  • ROSMASTER X3 is an educational robot based on the robot operating system with Mecanum Wheel, compatible with Jetson NANO/Xavier NX/TX2 NX and Raspberry Pi 5. 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 many video courses and a large number of codes, which can allow users to learn artificial intelligence programming and ROS systems.

Features

  • Aluminum alloy material, Mecanum wheels 360°omnidirectional movement.

  • Professional hardware configuration, lidar, depth camera, voice interaction module, etcFour controllers are available, Jetson NANO, Jeston ORIN NANO, Jeston ORIN NX and Raspberry Pi 5.

  • Using ORBSLAM2+Octomap, RRT algorithms to achieve 3D mapping navigation and autonomous positioning.

  • Combined with the voice interaction module, user can control the motion state of the robot or complete some functions through voice commands.

  • Various remote control methods such as mobile phone APP, handle, ROS system and computer keyboard.

  • 103 detailed video tutorials and open source codes, as well as professional technical support will be provided for free.





 

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