Feiyun Cong
Papers
4
Total Citations
52
H-Index
4
About
Feiyun Cong is a robotics researcher whose work centers on autonomous navigation, path planning, and the integration of mobile robotics with radiation detection. His most significant contributions lie in advancing robot path planning in complex environments, particularly through his development of the Improved Artificial Potential Field-based Simultaneous Forward Search (Improved APF-based SIFORS) method. This approach, detailed in his most-cited paper (26 citations), redefines potential functions to generate valid paths and enables simultaneous forward search, effectively addressing the limitations of traditional potential field methods in known and static settings. Cong’s research extends to humanoid robotics, where he has applied generative design to optimize calf structures based on gait simulation (8 citations), and to nuclear security, where he has explored radioactive source recognition using moving Compton camera imaging robots in Geant4 simulations (7 citations). With a cumulative citation count exceeding 50, Cong’s work bridges theoretical algorithm development with practical robotic applications, offering valuable insights for researchers in autonomous systems, humanoid design, and radiation detection robotics.
Research Focus
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Top Papers
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