Papers
1
Total Citations
11
H-Index
1
About
Yi Pan is an emerging researcher specializing in robotic systems, automation, and intelligent path planning, with a particular focus on applying advanced robotics to real-world disinfection and surface treatment challenges. His most notable work, "JPMDP: Joint Base Placement and Multi-Configuration Path Planning for 3D Surface Disinfection with a UV-C Robotic System" (2024), demonstrates his expertise at the intersection of robotic motion planning, optimization, and public health applications. This research addresses the critical problem of deploying UV-C disinfection robots efficiently across complex three-dimensional surfaces — a topic of significant practical relevance in healthcare and sanitation environments, particularly in the post-pandemic era. The work has already garnered 11 citations within a short period of publication, signaling strong interest from the robotics and automation community. Pan's research reflects a sophisticated command of multi-configuration planning strategies and base placement optimization, pushing the boundaries of autonomous robotic deployment. As a researcher clearly invested in translating theoretical robotics advances into tangible societal benefits, Yi Pan represents a promising voice in the growing field of service and medical robotics.
Research Focus
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Top Papers
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