Ri Gao

Beijing University of Civil Engineering and Architecture

Papers

Total Citations

H-Index

About

Ri Gao is a robotics researcher whose work focuses on the intersection of computer vision and autonomous mobile systems, particularly in human-centered environments. Her research addresses the critical challenge of enabling robots to coexist harmoniously with humans by developing robust visual perception and tracking capabilities. In her most cited work, "Research on Visual Image Processing of Mobile Robot Based on OpenCV," she laid foundational methods for real-time image analysis on robotic platforms. Her subsequent study, "Mobile Robot Moving Target Detection and Tracking System," introduced a novel integration of the pyramid optical flow algorithm with the CamShift algorithm on a Mecanum wheel mobile robot platform. This empirical work demonstrated significant improvements in target tracking stability and accuracy, directly contributing to safer human-robot interaction in domestic and service settings. While her citation counts reflect an emerging career, Gao's contributions are technically notable for their practical implementation of advanced computer vision algorithms on resource-constrained robotic systems. Her research represents an important step toward more responsive and socially aware mobile robots capable of navigating and serving in complex human environments.