About

Benjamin Navarro is a leading researcher in human-robot interaction and robotic manipulation, with a focus on enabling safe, intuitive collaboration between humans and machines. His major contributions span two key areas: real-time physical human-robot interaction and the manipulation of deformable linear objects. In the first area, Navarro developed frameworks for robust hand gesture detection and skeleton-based intent prediction, achieving over 126 citations for his work on background-invariant gesture recognition. He also pioneered an ISO10218-compliant adaptive damping controller for safe physical contact. In the second area, his groundbreaking work on dual-arm manipulation of flexible cables—parameterizing cable shapes via Fourier series and leveraging environmental contacts—has garnered over 124 and 99 citations, respectively. Notably, Navarro extended his expertise to assistive technology, designing a novel EMG interface for individuals with tetraplegia to pilot robot hand grasping, a project with 32 citations. He also led the development of the BAZAR collaborative robot for the factory of the future. With over 600 total citations across his top ten papers, Navarro's research is shaping the future of collaborative robotics, from industrial automation to rehabilitation.

Research Focus

Key Achievements

14
H-Index
25
Papers
736
Total Citations
29
Avg Citations/Paper
🏆 Most Cited Paper
A real-time human-robot interaction framework with robust background invariant hand gesture detection
126 citations · 2019
📈 Most Prolific Year: 2019 (7 Papers)
🤝 Key Collaborators: 49
🏛 Institutions: Centre National de la Recherche Scientifique, Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier, Université de Montpellier, Université d'Orléans, COMUE Languedoc-Roussillon Universités, Laboratoire Pluridisciplinaire de Recherche en Ingénierie des Systèmes, Mécanique et Energétique

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago