Neural Correlates of Robot Algorithms

Daniel D. Lee

University of Pennsylvania

2008. 11. 22

301-421, 11:00 AM

 

I will present some recent work on computational algorithms in robotics, and discuss whether they can perhaps provide insight into how the brain may accomplish similar tasks.  In particular, I will discuss specific algorithms used for vision, motor control, localization, and navigation in robots.  An overarching theme that emerges from these examples is the need to properly account for uncertainty and noise in the environment.  I will show how current machine systems approach this problem, and hope to spur discussion about related processes among neurons and in the brain.

 

 

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