Papers

25

Total Citations

327

H-Index

10

About

Lotfi El Hafi is a robotics researcher whose work sits at the intersection of human–robot interaction, autonomous manipulation, and intelligent service robotics. His research addresses some of the most pressing challenges in deploying robots in real-world environments — from noisy homes and busy retail floors to aircraft manufacturing facilities — with a consistent focus on making robots practical, adaptable, and accessible to non-expert users. El Hafi's most cited contribution (45 citations) introduced a mixed reality framework enabling non-experts to train service robots, elegantly bridging the gap between human intuition and robotic perception. His parallel work on retail automation (41 citations) demonstrated compliant mobile manipulation for restocking and product handling, a line of research he has continued to develop and refine. Beyond manipulation, he has tackled perception challenges innovatively, proposing an optical laser microphone (27 citations) to enable robust speech recognition in extremely noisy environments — a critical capability for domestic robots. His broader portfolio spans semantic mapping with generative adversarial networks, imitation learning for cleaning tasks, and collaborative software environments for robotics teams (28 citations). Collectively, his work reflects a commitment to building integrated, human-centered robotic systems ready for the complexities of everyday life.

Research Focus

Key Achievements

10
H-Index
25
Papers
327
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
System for augmented human–robot interaction through mixed reality and robot training by non-experts in customer service environments
45 citations · 2019
📈 Most Prolific Year: 2022 (8 Papers)
🤝 Key Collaborators: 64
🏛 Institutions: Ritsumeikan University, Nara Institute of Science and Technology, Panasonic (Japan)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago