Invited Talk
in
Workshop: Acting and Interacting in the Real World: Challenges in Robot Learning

Jitendra Malik: Vision for Manipulation and Navigation

Jitendra Malik

2017 Invited Talk
in
Workshop: Acting and Interacting in the Real World: Challenges in Robot Learning

Abstract

I will describe recent results from my group on visually guided manipulation and navigation. We are guided considerably by insights from human development and cognition. In manipulation, our work is based on object-oriented task models acquired by experimentation. In navigation, we show the benefits of architectures based on cognitive maps and landmarks.

Speaker

Jitendra Malik

Jitendra Malik is Arthur J. Chick Professor of Electrical Engineering and Computer Science at UC Berkeley. Over the past 30 years, Prof. Malik's research group has worked on many different topics in computer vision. Several well-known concepts and algorithms arose in this research, such as anisotropic diffusion, normalized cuts, high dynamic range imaging, shape contexts and R-CNN. Prof. Malik received the Distinguished Researcher in Computer Vision Award from IEEE PAMI-TC, the K.S. Fu Prize from the International Association of Pattern Recognition, and the Allen Newell award from ACM and AAAI. He has been elected to the National Academy of Sciences, the National Academy of Engineering and the American Academy of Arts and Sciences. He earned a B.Tech in Electrical Engineering from Indian Institute of Technology, Kanpur in 1980 and a PhD in Computer Science from Stanford University in 1985.

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