Papers
7
Total Citations
142
H-Index
5
About
Olivier Rochel’s research lies at the intersection of collaborative robotics, human-robot interaction, and bio-inspired sensing, with a strong emphasis on improving industrial work conditions. His most influential work, “Human movement and ergonomics: An industry-oriented dataset for collaborative robotics” (100 citations), provides a critical resource for developing machine learning algorithms that enable collaborative robots to perceive and respond to human ergonomic states—directly addressing the challenge of safer, more adaptive industrial environments. Rochel’s contributions span from early bio-inspired navigation, such as his work on stereo-olfaction using spiking neurons for odor plume tracking, to brain-machine interfaces that decode cortical activity to control robotic arms. He has also led practical demonstrations of heterogeneous robot teams for logistics, as seen in the euROBIN hackathon project on door-to-door parcel delivery. His datasets, like AndyData-lab-onePerson, offer rich motion and force measurements for studying human posture during manual tasks. With a career bridging fundamental neuroscience-inspired algorithms and applied industrial robotics, Rochel’s work continues to shape how robots can work safely alongside humans.
Research Focus
Key Achievements
Top Papers
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- 2Stereo-olfaction with a sniffing neuromorphic robot using spiking neurons18 citations · 2002
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- 7AndyData-lab-onePerson3 citations · 2019