Papers

67

Total Citations

1,625

H-Index

21

About

Lionel Robert is a prominent researcher specializing in human-robot interaction (HRI), with a particular focus on trust, personality, teamwork, and the psychological dimensions of working alongside robotic systems. His scholarship has made substantial contributions to understanding how humans form relationships with robots in collaborative work environments, exploring critical questions about emotional attachment, perceived safety, and the conditions under which people willingly accept robotic co-workers. Robert's most impactful work examines trust dynamics between humans and robots, including how trust violations occur, how they compound over repeated incidents, and what repair strategies can restore confidence in robotic teammates — a body of work accumulating nearly 200 citations across multiple studies. His research on human-robot similarity and willingness to collaborate (107 citations) has offered organizations practical insight into workforce integration challenges. Equally influential is his systematic examination of personality's role in HRI, producing both literature reviews and a meta-analysis that help consolidate a previously fragmented field. With over 900 combined citations across his top papers and contributions spanning virtual reality safety training, AI ethics, and embodied robotic collaboration, Robert has established himself as a leading voice shaping how researchers and organizations conceptualize effective, trustworthy, and psychologically grounded human-robot partnerships.

Research Focus

Key Achievements

21
H-Index
67
Papers
1,625
Total Citations
24
Avg Citations/Paper
🏆 Most Cited Paper
Enhancing perceived safety in human–robot collaborative construction using immersive virtual environments
185 citations · 2018
📈 Most Prolific Year: 2021 (11 Papers)
🤝 Key Collaborators: 68
🏛 Institutions: University of Michigan–Ann Arbor, Michigan United, Robotics Research (United States), Syracuse University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 34 days ago