Optimal sensory encoding and robot perception and navi-gation:Prof. Daniel D. Lee (University of Pen

1. 제 목 : Optimal sensory encoding and robot perception and navi-gation

2. 연 사 : Prof. Daniel D. Lee (University of Pennsylvania)

3. 일 시 : 2012년 8월 7일 (화) 오후 1시30분

4. 장 소 : 302동 309호 세미나실

5. 내용 :
Consider the difficulty of an autonomous robot performing a search and rescue mission in a hazardous environment containing broken walls, rubble, fire, smoke, and fog. How is it possible to sense and navigate in such noisy and uncertain environments? I will first review recently developed algorithms for mapping, path planning, and locomotion control, and then show how biological neurons are able to encode perceptual information in a Bayes optimal manner. In particular, I will discuss our recent results relating the Fisher Information measure to optimal encoding using generalized Cramer-Rao bounds.

6. Bio :

2005-Present: Associate Professor, Graduate Chair, Departments of Electrical and Systems Engineering and Bioengineering, University of Pennsylvania, Philadelphia, PA.

2001-2005: Assistant Professor, Departments of Electrical and Systems Engineering and Bioengineering, University of Pennsylvania, Philadelphia, PA.

7. 문 의 : 컴퓨터공학부 장병탁 교수 (880-1833)