Martin Rolfs
Papers
2
Total Citations
8
H-Index
2
About
Martin Rolfs is a leading researcher in visual perception and eye movement control, whose work bridges human vision and computational robotics to uncover fundamental principles of gaze guidance. His primary research areas include active vision, saccadic suppression, and the interplay between object perception and attention. Rolfs’ major contributions lie in demonstrating how uncertainty and semantic object cues drive gaze behavior in dynamic scenes, challenging traditional views that treat object segmentation and eye movements as independent processes. His highly cited work, including a 2025 paper with 6 citations, introduces a robotics-inspired scanpath model that reveals the critical role of object-level information in guiding attention during real-world viewing. Additionally, his 2024 study with 2 citations tests an algorithmic pattern from robotics—Active InterCONnect (AICON)—to predict unknown properties of the human visual system, such as shape-contingent color aftereffects, showcasing a novel cross-disciplinary approach. With a citation count reflecting growing influence, Rolfs’ research not only advances theoretical understanding of visual processing but also offers practical insights for artificial intelligence and human-computer interaction. His innovative integration of robotics principles into vision science marks him as a transformative figure in the field.
Research Focus
Key Achievements
Top Papers
- 1
- 2