Papers
2
Total Citations
11
H-Index
2
About
Danielle Nuzillard’s research focuses on capacitive sensing technologies for human–robot safety, particularly in automated industrial environments. Her major contributions center on developing novel capacitive safety devices that detect and localize human presence near articulated mechanical systems, such as robots and presses. Her most-cited work, “A Novel Capacitive Safety Device for Target Localization and Identification” (2008, 8 citations), introduces a system that uses electric field properties to estimate distance and identify targets, enhancing worker protection on automated production sites. This work builds on her earlier “Capacitive protection system for robot dedicated to the safety of humans” (2006, 3 citations), which laid the foundation for capacitive sensor-based safety solutions. While her citation counts are modest, Nuzillard’s research addresses a critical niche in industrial safety, offering an alternative to traditional mechanical or optical systems. Her achievements include pioneering capacitive methods for real-time proximity estimation and target identification, contributing to safer human–robot collaboration. For students and researchers exploring non-contact safety sensors, Nuzillard’s work provides a foundational example of applying capacitive principles to practical, life-saving applications in manufacturing and robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Capacitive protection system for robot dedicated to the safety of humans3 citations · 2006