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Welcome to Intelligent Systems Lab.      

      Intelligent systems consist of  components who have some sort of sensory feedback from their environment and in turn interact with the environment with some sort of autonomy.  Our goal is to engineer intelligent systems that have  predictable and robust behaviours. We  are building  systems ranging from attentive robots, to robot teams to software that emulates folding behaviour of protein.  Our particular interest is dynamical systems, sensory feedback based control and coordination of multiple agents.            

Prospective graduate students and postdocs           

Prospective undergrads

 

News

Seminar: Convex Relaxations for Robust dentification of Hybrid Models
 
Human "brain reading": Bayesian approaches for reconstructing perceptual experiences from functional MRI
 
Semih Çaycı has presented our poster paper at ECVP2009
 
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