Pengcheng Luo

Papers

Total Citations

H-Index

About

Pengcheng Luo is a leading researcher in human-robot interaction, with a specific focus on the nuanced synchronization of gesture and speech in humanoid robots. His most impactful work, "Synchronized gesture and speech production for humanoid robots" (2010, 86 citations), introduces a pioneering computational model that enables a Honda humanoid robot to generate a full repertoire of expressive gestures—from emblems and iconic gestures to deictic pointing and beat gestures—in real-time coordination with arbitrary speech input. This contribution is foundational for creating more natural, socially engaging robotic behavior, bridging the gap between robotic motion and human communication. Luo has also explored the personalization of interaction, as seen in his study "An Examination of Whether People Prefer Agents Whose Gestures Mimic Their Own" (2013, 12 citations), which investigates user preferences for gesture mimicry. Through this work, Luo has advanced the design of socially aware robots, demonstrating that subtle, synchronized non-verbal cues can significantly enhance human-robot rapport. His research remains highly cited in robotics and cognitive science, shaping how future robots will communicate with empathy and clarity.