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My research focuses on the visual control of action - in particular, human locomotion and navigation. On the one hand, I want to understand how motor behavior such as gait and other rhythmic movements are dynamically organized. On the other, I seek to explain how such behavior is adaptively regulated by visual information in complex environments. Using virtual reality techniques, my research team investigates problems such as the visual control of steering, obstacle avoidance, pedestrian interactions, and collective crowd behavior. This technology allows us to manipulate what human subjects see while walking through the virtual landscape, and to measure how they respond to this information. By using computer graphics, we test how the visual system determines one's future path from information such as optic flow, in order to characterize the functions that the brain must perform. The ultimate aim of this research is to understand how adaptive behavior emerges from the dynamic interaction of an organism and its environment. I think the answers will not be found solely in the brain, but will also depend on the physical and informational regularities that the brain exploits. This research contributes to a foundation of basic knowledge that is needed to understand visual-motor disorders and mobility problems in humans, and to develop mobile robots that can operate in novel environments such as the surface of Mars.
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JOURNAL OF VISIONno. 10 (2023): 3-3
PNAS nexusno. 5 (2023)
Journal of Visionno. 9 (2023): 5175-5175
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Journal of Visionno. 14 (2022)
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PERCEPTION (2022): 20-20
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