Guillaume Doisy

Ben-Gurion University of the Negev

Papers

10

Total Citations

198

H-Index

7

About

Guillaume Doisy is a leading researcher in human-robot interaction (HRI), with a focus on designing intuitive, natural interfaces for mobile robots. His work spans gesture recognition, physical interaction, and teleoperation, aiming to make robots accessible to non-expert users. Doisy’s most cited paper (55 citations) compares three interaction modalities—direct physical contact, person following, and pointing control—for indoor robot guidance, providing quantitative metrics that advance HRI design. He also developed a position-invariant, real-time gesture recognition algorithm based on dynamic time warping (27 citations), enabling natural, spatially unconstrained robot control. His research on human-robot interface design (20 citations) explores how to present learned robot behaviors effectively, a critical challenge for learning systems. Doisy’s contributions extend to sensorless collision detection for mobile robots (14 citations) and kinematic-ICP for LiDAR odometry (2025, 8 citations), enhancing robot autonomy and safety. His work has garnered over 200 total citations, reflecting its impact on both theoretical and applied robotics. Doisy’s achievements include integrating 3D vision and force control for seamless HRI, demonstrating a commitment to creating robots that are not only functional but also intuitive and safe for everyday use.

Research Focus

Key Achievements

7
H-Index
10
Papers
198
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
Comparison of Interaction Modalities for Mobile Indoor Robot Guidance: Direct Physical Interaction, Person Following, and Pointing Control
55 citations · 2015
📈 Most Prolific Year: 2013 (4 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Ben-Gurion University of the Negev

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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