Papers
2
Total Citations
2
H-Index
1
About
Hanfang Lyu is a rising researcher at the forefront of human-robot interaction (HRI), specializing in preference-based learning and social cue interpretation. Her work focuses on bridging the gap between human intentions and robotic actions, ensuring that service robots can operate in socially intuitive and minimally intrusive ways. Lyu’s major contribution includes the development of FARPLS (Feature-Augmented Robot Trajectory Preference Labeling System), a novel tool designed to assist human labelers in eliciting and aligning robot task objectives with human values. This system addresses a critical bottleneck in preference-based learning by streamlining the pairwise comparison of robot trajectories, making the labeling process more efficient and accurate. Additionally, her 2025 study on signaling human intentions to service robots explores how verbal commands, gestures, and eye gaze can be leveraged to reduce interruptions during in-person conversations, advancing the field of socially acceptable HRI. While her work is still early in its citation trajectory, with each paper garnering 1 citation, Lyu’s innovative approaches are poised to influence future research in assistive robotics and human-centered AI. Her achievements highlight a commitment to creating robots that not only perform tasks but also understand and respect human social dynamics.
Research Focus
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Top Papers
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