Event

In conjunction to Malin Svärd’s doctoral thesis defence, her opponent Professor Brett Fajen, Rensselaer Polytechnic Institute, NY, USA will give a lecture about “Visual control of high-speed steering in cluttered environments: The FPV drone-racing task”. Jonas Bärgman (Malin’s supervisor), Chalmers University, will host the lecture.

REGISTRATION: You do not have to register this time, welcome to join either onsite at SAFER or online

ZOOM Link:  https://chalmers.zoom.us/j/69684775354

ABOUT PROF. FAJEN – from his website

Brett Fajen conducts research on perception and action. His main interests are the visual control of locomotion and perceptual-motor learning and adaptation. His research on these topics contributes to the development of the ecological and dynamical systems approaches to perception and action.
“If you have ever been awed by the performance of a professional athlete, then you can appreciate some of the challenges that are faced when executing a skilled action,” said Fajen. “Such tasks require rapid decision-making, anticipation, and coordination. In the Perception and Action Lab at RPI, my students and I use immersive virtual environments and motion capture technology to study how people navigate through complex, dynamic environments, and perform perceptual-motor skills such as running to catch a fly ball and blocking a penalty shot in soccer.  We hope to inspire ideas for designing more sophisticated robots, develop new training programs for teaching complex motor skills, and improve the diagnosis and treatment of problems that affect the perceptual and motor systems.”
One current area of research is the “Rough Terrain Project,” which investigates how humans and other animals are able navigate uneven terrain. In this project, Fajen and his students are exploring how visual information is used to walk over rough terrain with irregularly-spaced safe footholds. They have developed a novel experimental paradigm in which subjects walk over an array of randomly distributed virtual obstacles that are projected onto the floor by a LCD projector while their movements are recorded using a full-body motion capture system. This setup allows them to synchronize the appearance of obstacles with the movement of the subject. For example, in one experiment, obstacles appear only when they lie within a moving window of visibility centered on the subject. By manipulating the size of the window of visibility, they are measuring how far along the future path visual information is needed to control foot placement.

You can read more about Prof. Brett Fajen and his research here.

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