Guillaume Doisy
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
Top Papers
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- 8Human-robot interaction through 3D vision and force control7 citations · 2014
- 9Spatially unconstrained, gesture-based human-robot interaction6 citations · 2013
- 10Spatially unconstrained, gesture-based human-robot interaction4 citations · 2013