Papers
15
Total Citations
352
H-Index
11
About
Franck Geffard is a prominent robotics researcher whose work spans teleoperation, human-robot collaboration, and haptic interaction, with particular expertise in applying advanced robotic systems to demanding industrial and nuclear environments. His most influential contribution — a force-feedback teleoperation system for industrial robots deployed in nuclear spent fuel reprocessing plants (60 citations) — exemplifies his ability to bridge cutting-edge research with real-world safety-critical applications, work further demonstrated through his longstanding collaboration with AREVA and CEA LIST on telemaintenance systems at La Hague. Beyond nuclear robotics, Geffard has made significant strides in comanipulation, developing methods for robots and humans to physically share tasks with greater stability and fluency. His research on adapting to human arm impedance (53 citations) and force amplification dynamics (30 citations) has shaped how collaborative robots respond intelligently to human partners. His work on haptic communication (39 citations) introduced a taxonomy for detecting human intent during shared manipulation tasks — a conceptually rich contribution to human-robot interaction. More recently, Geffard has explored EMG-based exoskeleton control for load carrying without force sensors (36 citations), signaling his continued innovation in assistive robotics. Across more than a decade of research, his cumulative impact reflects a distinguished career advancing safe, intuitive, and effective human-robot collaboration.
Research Focus
Key Achievements
Top Papers
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- 6Robotic skin structure and performances for industrial robot comanipulation26 citations · 2009
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- 8Robot Assistance Selection for Large Object Manipulation with a Human18 citations · 2013
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