Raspberry Pi
SLAM laser radar intelligent car
——ROS Robot Platform——
LiDAR Indoor positioning Human tracking
Building a map Automatic obstacle avoidance Object tracking
LiDAR Camera ROS
Path planning Visual patrol line Mileage feedback
Functional Features
| Laser scanning ranging radar |
Easy to use ROS robot user interaction system |
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| SLAM algorithm |
ROS |
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| Radar scrolling lights are coming! Cool |
Map construction and autonomous navigation |
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Product parameters
① Robot Eyes third-generation 1080P high-definition camera | ⑤ 9-axis gyroscope |
② High quality acrylic bracket | ⑥ Large size aluminum alloy body |
③ 3.5-inch touch screen display | ⑦ Raspberry Pi 4B&ROS driver board |
④ XR Lidar S1 LiDAR |
ROS Robot Control Board | XR-ROS PT4 | Programming software | Python, C language |
Vehicle size | 280mm×242mm×300mm | Weight | About 3kg |
Battery | 8400mAh lithium battery with charging protection | Digital display voltage | 3-segment digital display |
Motor | DC brushed motor (with built-in 360 wire AB code) | IMU | Nine axis gyroscope sensor |
Raspberry Pi ROS Robot
7 major advantages
| 1 First SLAM laser radar construction map |
Select XR Lidar S1 LiDAR, support gmapping, Hector/Harto algorithms to construct maps, and support keyboard, mouse,
and selection area to construct maps.
| 2 Second Indoor automatic obstacle avoidance and indoor positioning |
ndoor autonomous navigation dynamic obstacle avoidance.
Based on the indoor map, plan the path and perform secondary planning when the road is blocked to achieve dynamic obstacle avoidance
| 3 Third Camera patrol line |
Based on OpenCV camera line patrol
| 4 Fourth Exclusive mobile app for controlling robots |
Provide Android mobile app software, complete WIFI video monitoring and control functions,
complete app mapping and autonomous navigation functions.
The mobile app controls the movement, car position setting, navigation target setting, and path display.
| 5 Fifth Real time display on touch screen display |
When operating ROS robots, you often need to connect the main control board to WIFI, timely understand the IP address of the main control board, monitor the real-time operation of the main control board, etc. You need a touchable display.
Pay attention to customer experience and bring good products for ROS learning to everyone!
| 6 Sixth Application of SLAM Algorithm Technology |
Through the SLAM algorithm learned from ROS LiDAR intelligent car,
It can be applied to mainstream fields such as unmanned automatic delivery robots and household sweeping robots.
| 7 Seventh Provide robot supporting materials |
Video tutorial
Shipping List
1. Chassis parts (color optional) | 11. Double headed copper pillar M3 * 4 |
2. 1080P high-definition camera | 12. Nylon pillar M2.5 * 4 |
3. XR Lidar S1 LiDAR | 13. Screw M3 * 15 |
4. Raspberry Pi 4B | 14. Nut M3 * 15 |
5. Raspberry Pi power board | 15. Velcro |
6. Raspberry Pi Display Screen | 16. Screw M2.5 * 8 |
7. Acrylic A board | 17. Nut M2.5 * 4 |
8. Acrylic B board | 18. 9-axis gyroscope |
9. Acrylic C board | 19. 16g memory card |
10 single head copper pillar M3 * 8 | 20. Battery |
21. Attention | |
Our services
About express delivery | Gift materials | Technical Support |
