Yukuan Sun

Papers

Total Citations

H-Index

About

Yukuan Sun’s research lies at the intersection of mobile robotics and human-robot interaction, with a focus on indoor navigation and perceptual intelligence. In his early work, Sun advanced the use of bird’s eye view images for visual navigation, proposing a framework that simplifies self-localization and map-building—a contribution that has garnered 7 citations and helped shape a more intuitive approach to robot path planning. His 2013 study on path planning algorithms emphasized the dual requirements of minimal inflection points and shortest paths, addressing fundamental challenges in indoor robot control and earning 5 citations for its practical insights. More recently, Sun has expanded into interactive intent recognition, exploring how facial expressions and line-of-sight direction can be used to infer human intentions—a 2019 paper with 3 citations that signals a shift toward socially aware robotics. By bridging low-level navigation with high-level human cues, Sun’s work offers a holistic view of how robots can both move and communicate effectively in indoor environments. His research continues to inspire students and engineers seeking to build more responsive, autonomous systems.