This technology is a complex sensing control system that precisely estimates the positions of a robot and surrounding objects by arranging multiple sensor units at equal angles around the robot's exterior and integrating vision, depth, and marker tracking information. It updates real-time position data by converting individual sensor reference coordinates into a single coordinate system centered on the robot.
Existing LiDAR and radar sensors are limited in their ability to perform precise autonomous driving and tasks due to narrow fields of view, low resolution, and limited accuracy. Furthermore, it has been difficult to reliably estimate posture when the robot's position fluctuates.
This technology utilizes a housing containing vision cameras, depth sensors, and marker trackers, arranged around the robot's body to acquire multi-angle environmental information. A processor maps the reference coordinates of each sensor to the robot's origin coordinates and updates map and position data complementarily based on marker recognition to control autonomous navigation. Applicable to robot gripping, precision measurement, and automated facilities, this technology improves the accuracy of position estimation for both the robot and objects in the workspace, thereby enhancing overall operational performance.
WO2024-106661A1