Hendrik Goessaert
Papers
1
Total Citations
4
H-Index
1
About
Hendrik Goessaert’s research lies at the intersection of robotics, human-robot interaction, and assistive technology, with a particular focus on semi-autonomous navigation for mobility-impaired users. His most notable contribution is his work on the FP7 project RADHAR (Robotic ADaptation to Humans Adapting to Robots), which proposes a novel framework for fusing uncertain information from environmental perception with user intent to enable safer, more intuitive wheelchair navigation. The project’s overview paper, while accumulating 4 citations, represents a foundational step toward adaptive robotic systems that learn from and respond to human behavior in real time. Goessaert’s approach emphasizes the bidirectional nature of adaptation—robots adjusting to humans just as humans adapt to robotic assistance—a concept that has influenced subsequent work in shared control and assistive robotics. Though his publication record is concise, his contributions to the RADHAR framework have helped shape discussions on how uncertain sensory data can be integrated with user commands to create more reliable and responsive assistive devices. His work continues to inspire researchers exploring human-centered robotics for healthcare and rehabilitation.
Research Focus
Key Achievements
Top Papers
- 1