Yan-Qiao Wei
Papers
1
Total Citations
1
H-Index
1
About
Yan-Qiao Wei is a researcher specializing in robot motion planning, with a particular focus on real-time navigation in complex dynamic environments. His major contribution lies in the development of the P-RT-BFMT algorithm—a Prediction-Based Real-Time Bidirectional Fast Marching Tree—which addresses longstanding limitations of traditional rapidly-exploring random tree (RRT) variants. While RRT algorithms have been widely successful, they often struggle with real-time performance when robots must navigate unpredictable, moving obstacles. Wei’s work introduces a predictive framework that enhances both speed and safety, enabling mobile robots to plan paths efficiently on the fly. Although his most-cited paper currently holds 1 citation, this reflects the recency of his research rather than its potential impact; the work is positioned to influence future developments in autonomous navigation and robotics. Wei’s focus on bridging theoretical planning algorithms with practical, real-world constraints marks him as an emerging contributor in the field, with his methodology offering a promising direction for students and researchers tackling motion planning in dynamic settings.
Research Focus
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Top Papers
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