Papers

2

Total Citations

86

H-Index

2

About

Jordi Fonollosa is a leading researcher in the field of chemical sensing and computational olfaction, with a focus on biologically inspired systems and real-world robotic applications. His work bridges the gap between biological understanding and engineering, particularly through the development of low-cost, metal-oxide (MOX) gas sensor arrays for mobile robotics. In his highly cited 2019 paper (79 citations), Fonollosa demonstrated the integration of a 16-sensor array into an assistant personal robot for early gas leak detection, significantly advancing the safety capabilities of autonomous systems. His earlier contributions to the NEUROCHEM project (FP7, Bio-ICT) helped develop novel computing architectures that mimic the olfactory system, enhancing the performance of chemical sensors. With a growing impact in the field, Fonollosa’s research continues to inspire innovations in environmental monitoring, robotics, and bio-inspired computation. His work is essential reading for students and researchers interested in the intersection of sensor technology, machine olfaction, and practical robotic safety systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
86
Total Citations
43
Avg Citations/Paper
🏆 Most Cited Paper
Application of an Array of Metal-Oxide Semiconductor Gas Sensors in an Assistant Personal Robot for Early Gas Leak Detection
79 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Hospital Sant Joan de Déu Barcelona, Universitat de Barcelona

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago