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
Top Papers
- 1Model for a Sensor Inspired by Electric Fish58 citations · 2011
- 2
- 3Electrolocation Sensors in Conducting Water Bio-Inspired by Electric Fish27 citations · 2013
- 4On solving inverse problems for electric fish like robots6 citations · 2010