Papers

3

Total Citations

84

H-Index

3

About

Etienne Hugues is a pioneer in biomimetic robotics and olfactory sensing, whose work bridges biology and engineering to create machines that can navigate complex chemical environments. His research focuses on developing robots that emulate biological olfaction, enabling them to track and locate specific odors in turbulent plumes—a challenge with profound implications for environmental monitoring, search-and-rescue, and hazardous material detection. Hugues’ most-cited paper, "A biomimetic robot for tracking specific odors in turbulent plumes" (2006, 61 citations), demonstrates his groundbreaking approach to replicating the neural and behavioral strategies of animals like moths and dogs. He further advanced the field with "Stereo-olfaction with a sniffing neuromorphic robot using spiking neurons" (2002, 18 citations), a seminal work that introduced neuromorphic computing to olfactory robotics, allowing for real-time, energy-efficient processing. His "Navigation strategies for a robot in a turbulent odor plume using bilateral comparison" (2003, 5 citations) refined plume-tracking algorithms by mimicking bilateral sensory comparisons seen in nature. Hugues’ contributions have laid the foundation for autonomous systems that can "smell" their environment, inspiring a generation of researchers in bio-inspired robotics and sensory neuroscience.

Research Focus

Key Achievements

3
H-Index
3
Papers
84
Total Citations
28
Avg Citations/Paper
🏆 Most Cited Paper
A biomimetic robot for tracking specific odors in turbulent plumes
61 citations · 2006
📈 Most Prolific Year: 2006 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Laboratoire Lorrain de Recherche en Informatique et ses Applications

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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