Papers

6

Total Citations

26

H-Index

3

About

Fabrice Jumel is a robotics researcher whose work centers on human-robot interaction, autonomous navigation in crowded spaces, and socially aware robotic systems. His most cited paper, “Mapping likelihood of encountering humans: Application to path planning in crowded environment” (2017, 8 citations), introduces a novel approach for robots to model human flow patterns, enabling safer and more efficient navigation in dynamic, people-filled environments. This contribution addresses a critical challenge in deploying autonomous robots in real-world settings like hospitals or shopping centers. Jumel also made significant strides in the RoboCup@Home competition, where his work on context-aware robot architectures (2019, 7 citations) and advancing research through competition frameworks (2019, 4 citations) helped shape benchmarks for domestic service robots. His research extends to social interaction management, using 2D cameras for human-robot engagement (2019, 3 citations), and bio-inspired living lab designs for senior care (2015, 2 citations). Additionally, his exploration of robot patrolling strategies for serving moving people (2015, 2 citations) offers practical insights into multi-robot coordination. With a focus on making robots perceptive, adaptive, and socially competent, Jumel’s work is foundational for the next generation of autonomous assistants in human-centric environments.

Research Focus

Key Achievements

3
H-Index
6
Papers
26
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Mapping likelihood of encountering humans: Application to path planning in crowded environment
8 citations · 2017
📈 Most Prolific Year: 2019 (3 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Université Claude Bernard Lyon 1, Bauman Moscow State Technical University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago