Artificial intelligence self-driving delivery robot "Robo Q"
- Self-driving delivery robot for safe delivery of food and goods in a building
- Self-driving delivery service through LiDAR,camera,GPS,and IMU sensor fusion technology
● Key features of the service
- You can check the driving of the delivery robot in real time through APP/WEB.
- Customers place orders via APP with security to open their shipping boxes and receive notifications on arrival.
- Avoiding objects through pedestrian recognition while driving and preventing collisions by stopping
- Application of autonomous driving technology and sensor fusion technology
● Key Technologies
① SLAM (2D mapping) - Detects the LiDAR sensor"s cycle per second within a certain distance from the facility and maps the surroundings in real time with SLAM algorithm
② Up to 10M pedestrian and obstacle recognition with LiDAR
③ Precision position recognition technology - 3D coordinate construction of X,Y,and H at 10cm intervals,90% accuracy of robot"s current position using GPS GNSS RTK,IMU sensor identifies robot"s heading direction and localizes
④ Real-time object recognition
- Pedestrian and obstacle recognition in driving environment using face and whole body detection technology
- Utilize the YoloV4 algorithm for real-time remote monitoring (four-channel split)
● Excellent
① Network:Remote access through LG U+ 5G (no network disruption through unlimited 5G network)
② Monitoring:4x (channel) monitoring through 5 cameras (2 front,2 side,1 rear) and remotely from the control room regardless of robot location
③ Loadability:Loadability up to 100kg