Papers
21
Total Citations
208
H-Index
8
About
Damien Pellier is a prominent researcher whose work sits at the intersection of human-robot interaction, collaborative robotics, and end-user robot programming. His research spans two interconnected domains: understanding the cognitive and psychological dimensions of working alongside robots, and developing accessible frameworks that empower non-expert users to program robotic systems. Pellier's most influential contribution — garnering 43 citations — investigates how collaboration with cobots affects workers' cognitive load and usability in industrial settings, offering critical insights for occupational health practitioners navigating the rapid adoption of collaborative robots. This work complements his broader investigation into cobot-human assembly dynamics, examining success rates, workload, and user acceptability across multiple studies. Equally significant is his development of cognitive and affective architectures for social human-robot interaction, work that laid theoretical foundations for emotionally responsive robots. His research also extends into socially assistive robotics, notably exploring robot-administered dementia screening for elderly patients — a compassionate application with real clinical implications. Through frameworks like iRoPro and programming-by-demonstration approaches, Pellier has consistently worked to democratize robot programming, enabling non-experts to configure complex robotic behaviors. Collectively accumulating over 170 citations, his body of work reflects a researcher deeply committed to making robotics more human-centered, accessible, and practically impactful.
Research Focus
Key Achievements
Top Papers
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- 4iRoPro: An interactive Robot Programming Framework16 citations · 2021
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- 6End-User Programming of Low-and High-Level Actions for Robotic Task Planning13 citations · 2019
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