Dirk Vanhooydonck
Papers
9
Total Citations
174
H-Index
8
About
Dirk Vanhooydonck is a pioneering researcher in assistive robotics, specializing in intelligent wheelchair control, human-robot interaction, and mobile robot navigation. His major contributions lie in developing probabilistic frameworks for shared wheelchair control, where he modeled driver intentions as geometric paths to enable seamless collaboration between human users and robotic assistance systems. His work on Bayesian estimation of wheelchair driver intents (48 citations) and model-based plan recognition (35 citations) laid the groundwork for more intuitive, adaptive assistive technologies. Vanhooydonck also advanced navigation algorithms, including the global dynamic window approach for holonomic and non-holonomic robots (17 citations), and explored active stereo vision for person tracking (17 citations). Notably, he contributed to brain-actuated wheelchair control using EEG signals (10 citations), pushing the boundaries of non-invasive neural interfaces. His research on selecting suitable human-robot interaction techniques (18 citations) and fine motion planning for shared control (14 citations) directly addressed the challenges faced by elderly and disabled users, making electric wheelchairs safer and more responsive. Vanhooydonck’s work remains influential in assistive robotics, bridging the gap between autonomous navigation and human intent recognition.
Research Focus
Key Achievements
Top Papers
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- 4Active stereo vision-based mobile robot navigation for person tracking17 citations · 2006
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- 7Is structure needed for omnidirectional visual homing?10 citations · 2005
- 8Continuous Brain-Actuated Control of an Intelligent Wheelchair by Human EEG10 citations · 2008
- 9A Robotic Assistant for Ambient Intelligent Meeting Rooms5 citations · 2003