Papers
22
Total Citations
511
H-Index
11
About
Damien Petit is a robotics researcher whose work spans three interconnected domains: robot embodiment and telepresence, robotic manipulation and grasping, and brain-computer interface (BCI)-driven human-robot interaction. His research has made notable contributions to our understanding of how humans psychologically inhabit robotic bodies, demonstrating that users can experience compelling illusions of embodiment — including haptic sensations and bi-location — when controlling humanoid robot avatars. These findings, reflected in several well-cited studies from 2015 to 2017, have meaningful implications for telepresence, assistive technology, and disaster response robotics. Equally significant is Petit's work on intelligent robotic manipulation. His 2020 paper on reinforcement learning for contact-rich tasks with position-controlled robots has attracted over 150 citations, addressing a critical barrier to deploying RL on real hardware. He has also contributed to affordance-based grasping frameworks, tool-use learning, and complex shelf-picking planning for logistics environments. Across his career, Petit has accumulated over 430 citations, reflecting broad influence across cognitive robotics, human-robot interaction, and autonomous manipulation — making his profile particularly valuable for researchers bridging perception, embodiment, and physical robot intelligence.
Research Focus
Key Achievements
Top Papers
- 1
- 2A brief review of affordance in robotic manipulation research65 citations · 2017
- 3
- 4Non-human Looking Robot Arms Induce Illusion of Embodiment42 citations · 2017
- 5
- 6
- 7An integrated framework for humanoid embodiment with a BCI19 citations · 2015
- 8Bimanual Shelf Picking Planner Based on Collapse Prediction15 citations · 2021
- 9Teaching a robot to use electric tools with regrasp planning13 citations · 2019
- 10Navigation assistance for a BCI-controlled humanoid robot13 citations · 2014