About

Pierre Gergondet is a robotics researcher whose work sits at the intersection of humanoid robotics, human-robot interaction, and advanced motion control. Best known for his contributions to collaborative human-robot tasks, Gergondet has pioneered frameworks that blend vision and haptic sensing to enable humanoids to work alongside human partners — most notably in joint carrying and transportation scenarios, which together have amassed nearly 180 citations. His research into brain-computer interfaces (BCI) for robot control represents another influential thread, exploring how individuals — including those with spinal cord injuries — can steer humanoid robots through thought alone, with audio-visual feedback significantly enhancing performance across multiple studies. Gergondet has also made landmark contributions to real-world humanoid deployment, contributing to the Airbus manufacturing project (94 citations) that demonstrated humanoids performing assembly tasks in aerospace environments inaccessible to conventional platforms. His work on multi-contact ladder climbing and autonomous car driving by humanoid robots further highlights his ambition to push embodied robotics into complex, unstructured settings. More recently, he has explored deep reinforcement learning for bipedal locomotion. Across a career spanning foundational motion planning to cutting-edge learned controllers, Gergondet's research has consistently advanced the practical capabilities of humanoid robots in human-centered environments.

Research Focus

Key Achievements

16
H-Index
32
Papers
861
Total Citations
27
Avg Citations/Paper
🏆 Most Cited Paper
Collaborative human-humanoid carrying using vision and haptic sensing
100 citations · 2014
📈 Most Prolific Year: 2023 (7 Papers)
🤝 Key Collaborators: 95
🏛 Institutions: Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier, National Institute of Advanced Industrial Science and Technology, Centre National de la Recherche Scientifique, Robotics Research (United States), Institute for Research in Language Teaching

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago