Papers

32

Total Citations

705

H-Index

15

About

Charles Fox is a versatile robotics and autonomous systems researcher whose work spans biomimetic sensing, agricultural robotics, and autonomous vehicle interaction. He is perhaps best known for his pioneering contributions to whisker-based tactile sensing, drawing inspiration from the vibrissae of rodents to develop sophisticated robotic perception systems. His BIOTACT Sensor and the "Shrewbot" platform demonstrated that robots could navigate and build maps through touch alone — a breakthrough for environments where vision fails — with his tactile SLAM work accumulating nearly 50 citations and his whisker discrimination studies attracting over 79. Fox has also made substantial contributions to precision agriculture, developing machine vision algorithms for weed detection in grassland (81 citations), robotic crop row tracking, and critically, a widely-cited legal framework for autonomous agricultural robots (65 citations) that bridges engineering and policy. His empirical game-theoretic approach to pedestrian-vehicle interaction (42 citations) further demonstrates his interdisciplinary reach into autonomous vehicle safety. Across his career, Fox has consistently translated biological insight and theoretical rigour into practical robotic systems, making him an influential figure for students working at the intersection of biomimetics, field robotics, and autonomous systems.

Research Focus

Key Achievements

15
H-Index
32
Papers
705
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
Controlled comparison of machine vision algorithms for Rumex and Urtica detection in grassland
81 citations · 2017
📈 Most Prolific Year: 2023 (6 Papers)
🤝 Key Collaborators: 54
🏛 Institutions: Ibex Innovations (United Kingdom), University of Sheffield, University of Lincoln, University of Leeds

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago