Marnix Nuttin
Papers
47
Total Citations
1,823
H-Index
18
About
Marnix Nuttin is a robotics and human-machine interaction researcher whose work has significantly advanced the field of assistive robotics, particularly at the intersection of brain-computer interfaces (BCIs) and intelligent wheelchair control. His most celebrated contribution, "A Brain-Actuated Wheelchair" (2008), has garnered over 660 citations and established foundational principles for using non-invasive, asynchronous brain signals to continuously control robotic platforms — a landmark achievement in neuroprosthetics and assistive technology. Complementing this, his series of papers on shared control, context-based filtering, and Bayesian intent modeling for wheelchair navigation demonstrated how intelligent algorithms can bridge the gap between unreliable neural inputs and safe, effective robot behavior, collectively accumulating hundreds of additional citations. Nuttin also made meaningful contributions to autonomous robot navigation through omnidirectional vision systems and sparse visual path following, reflecting a broad command of mobile robotics perception. His earlier work on learning controllers for industrial robots and social robots like Lino further illustrates a career spanning machine learning, human-robot interaction, and rehabilitation engineering — making him a versatile and impactful figure in applied robotics research.
Research Focus
Key Achievements
Top Papers
- 1
- 2Omnidirectional Vision Based Topological Navigation194 citations · 2007
- 3Adaptive Shared Control of a Brain-Actuated Simulated Wheelchair158 citations · 2007
- 4Context-Based Filtering for Assisted Brain-Actuated Wheelchair Driving133 citations · 2007
- 5Feature based omnidirectional sparse visual path following70 citations · 2005
- 6
- 7Learning Controllers for Industrial Robots42 citations · 1996
- 8Lino, the User-Interface Robot38 citations · 2003
- 9
- 10