Hans Fraeyman
Papers
1
Total Citations
4
H-Index
1
About
Hans Fraeyman is a researcher whose work centers on the intersection of robotics, human-robot interaction, and assistive technology, with a particular focus on semi-autonomous navigation for mobility aids. His major contribution lies in advancing frameworks for robotic adaptation to human users, specifically through the FP7 project RADHAR, which he helped lead. This project proposed a novel approach to fusing uncertain environmental perception data with user intent, enabling wheelchairs and similar devices to navigate more safely and intuitively alongside humans. While his most-cited work, the RADHAR overview paper, has garnered 4 citations, its true impact is reflected in the foundational concepts it established for adaptive, shared-control navigation systems. Fraeyman’s research addresses the critical challenge of creating robotic systems that can seamlessly adapt to human behavior, rather than requiring humans to conform to rigid machine logic. His work is particularly relevant for students and researchers interested in assistive robotics, human-aware navigation, and the development of intelligent mobility solutions for individuals with disabilities.
Research Focus
Key Achievements
Top Papers
- 1