Lucas Morillo-Mendez
Papers
11
Total Citations
86
H-Index
5
About
Lucas Morillo-Mendez is a researcher whose work sits at the intersection of human-robot interaction (HRI), social cognition, and autonomous navigation. His research explores how humans perceive and respond to robotic social cues — particularly gaze — and how robots can communicate more effectively with the humans they share space with. Among his most recognized contributions is his investigation into robotic gaze perception across age groups, revealing how older adults differ from younger users in following and interpreting a social robot's eye contact — work that has accumulated nearly 30 citations across multiple studies and carries direct implications for assistive robotics design. He has also demonstrated that multimodal robot-to-human communication outperforms verbal-only approaches, and that robotic gaze drives human attention even in the absence of visible eyes, shedding light on the underlying mechanisms of social attention. On the data infrastructure side, Morillo-Mendez has contributed to the THÖR-MAGNI project, a large-scale indoor motion capture dataset recording human and robot navigation that has already garnered 14 citations, supporting advances in motion prediction and socially aware robot planning. Collectively, his work bridges social psychology, cognitive science, and robotics engineering, making him a notable emerging voice in socially intelligent robot design.
Research Focus
Key Achievements
Top Papers
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- 5Robotic Gaze Drives Attention, Even with No Visible Eyes6 citations · 2023
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