A robot identification and following method and system based on fusion of UWB and vision
By employing a robot recognition and following method that integrates UWB and vision, and utilizing dual judgment and compensation coefficient calculation, the problem of inaccurate positioning and loss of vision recognition technology in occluded environments is solved, enabling robots to follow accurately and stably in complex scenarios.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHENZHEN CHAORAN TECH CO LTD
- Filing Date
- 2026-04-23
- Publication Date
- 2026-07-17
AI Technical Summary
Existing visual recognition technologies lack sufficient positioning accuracy in robot following scenarios and are easily interfered with by occlusions, leading to target loss and following failure, making it difficult to meet the requirements for high-precision following.
A robot recognition and following method integrating UWB and vision is adopted. The target features are acquired through an image module and matched with a built-in feature library. Combined with localization data from the UWB module, and utilizing dual judgment of feature markers and localization markers, along with dynamic verification of recognition time, precise target locking and following are achieved. Through the collaborative calculation of compensation coefficients and motion change values, following motion data adapted to different scenarios is generated. This is supplemented by the robot's vision for facial or human feature recognition, improving the accuracy and anti-occlusion capability of the following.
It achieves precise target locking and following in complex environments, improves the robot's following continuity and adaptability in occluded scenarios, maintains the stability and accuracy of following actions, and enhances the robot's reliability and human-machine collaboration efficiency in complex scenarios.
Smart Images
Figure CN122415679A_ABST