Papers

4

Total Citations

19

H-Index

3

About

Alexis Poignant is a leading researcher in the emerging field of human-robot collaboration, with a specific focus on supernumerary robotic limbs and assistive teleoperation. Their work centers on how robotic systems—from extra arms to wheelchair-mounted manipulators—can safely and intuitively augment human capabilities. Poignant’s major contributions include developing a practical control framework for safe collaborative supernumerary robotic arms, which addresses the critical safety challenges of operating a manipulator in extreme proximity to the user. They have also pioneered a hands-free teleoperation method that creates a virtual body-to-robot link, enabling users to control nearby robots through natural body movements. This work is particularly impactful for assistive technologies, such as robots embedded on wheelchairs. With their most-cited paper, "A Practical Control Approach for Safe Collaborative Supernumerary Robotic Arms," accumulating 10 citations, Poignant’s research is gaining traction. They have further explored the complexities of trimanual operation, comparing solo and collaborative control in tasks with varying physical coupling. Poignant’s work is notable for its direct application to surgery, industrial assembly, and prosthetics, offering a vision where a single user can perform tasks that once required a full team.

Research Focus

Key Achievements

3
H-Index
4
Papers
19
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
A Practical Control Approach for Safe Collaborative Supernumerary Robotic Arms
10 citations · 2023
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Sorbonne Université, Inserm, Centre National de la Recherche Scientifique

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago