Franck Gonzalez
Papers
1
Total Citations
131
H-Index
1
About
Franck Gonzalez is a leading researcher in the field of physical human-robot interaction (pHRI), with a particular focus on the application of differential game theory to enable more intuitive, safe, and versatile collaboration between humans and robots. His most cited work, "Differential game theory for versatile physical human–robot interaction" (2019, 131 citations), represents a landmark contribution that reframes human-robot cooperation as a dynamic, game-theoretic process. By modeling the interaction as a non-cooperative game where both human and robot optimize their own objectives, Gonzalez’s framework allows robots to anticipate and adapt to human actions in real time, moving beyond traditional rigid control schemes. This approach has significant implications for assistive robotics, rehabilitation, and industrial co-working, where seamless physical cooperation is critical. His research has been widely recognized for bridging theoretical control theory with practical robotic systems, and his work continues to influence the design of next-generation collaborative robots. Gonzalez’s contributions are essential reading for anyone interested in the future of human-robot teamwork.
Research Focus
Key Achievements
Top Papers
- 1Differential game theory for versatile physical human–robot interaction131 citations · 2019