Papers

4

Total Citations

125

H-Index

4

About

Pol-Bernard Gossiaux is a pioneering researcher in bio-inspired robotics, specializing in electrolocation—a sensory modality modeled after the electric fish’s ability to navigate and detect objects in dark or turbid waters. His major contributions lie in developing active electric sensors and algorithms that enable underwater robots to perceive their environment where vision and sonar fail. His landmark 2011 paper, with 58 citations, introduced the first functional bioinspired electric sensor and laid the groundwork for a swimming robot equipped with electric sense. In a 2010 study (34 citations), Gossiaux demonstrated autonomous robot navigation around a sphere using electrolocation and a Kalman filter, proving the feasibility of closed-loop control in unbounded environments. His 2013 work (27 citations) further advanced omnidirectional sensing for exploration tasks. Though his inverse problem-solving paper (6 citations) is less cited, it addresses the critical challenge of reconstructing object positions from electric field perturbations. Gossiaux’s research bridges biology and engineering, offering transformative potential for underwater robotics in murky conditions, and his sensor designs remain foundational for the field.

Research Focus

Key Achievements

4
H-Index
4
Papers
125
Total Citations
31
Avg Citations/Paper
🏆 Most Cited Paper
Model for a Sensor Inspired by Electric Fish
58 citations · 2011
📈 Most Prolific Year: 2010 (2 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Laboratoire de Physique Subatomique et des Technologies Associées, Centre National de la Recherche Scientifique

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago