Emilio J. C. Lobato
Papers
8
Total Citations
299
H-Index
7
About
Emilio J. C. Lobato is a multidisciplinary researcher whose work spans human-robot interaction (HRI), social cognition, and assistive robotics. His most recognized contributions center on understanding how humans perceive and interpret social cues and signals when interacting with robots—a foundational question as robots are increasingly deployed in everyday social environments. His 2013 study on robot gaze and proxemic behavior, which has accumulated over 160 citations, established critical insights into how robots can project social presence through nonverbal communication, influencing both robot design and HRI methodology. Alongside colleagues, Lobato advanced theoretical frameworks for the field, drawing on social judgment theory and dual-process cognitive models to explain the psychological mechanisms underlying human-robot dynamics. His interdisciplinary taxonomy of social cues further helped bridge social signal processing and robotic engineering. Beyond social robotics, Lobato has extended his expertise to applied settings, contributing notably to the evaluation of upper-limb exoskeletons in industrial maintenance tasks using electromyography—work that has garnered nearly 50 citations. Collectively, his research demonstrates a consistent commitment to making robots more socially intelligent, physically assistive, and human-centered, placing him at an important intersection of cognitive science, engineering, and robotics.
Research Focus
Key Achievements
Top Papers
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- 5A Dual-Process Approach to Understanding Human-Robot Interaction17 citations · 2013
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