Friday, 8th March - 11am Mohan Sridharan : Seminar

Title: Integrated Knowledge Representation, Reasoning, Control, and Interactive Learning in Robotics

Abstract:

This talk will describe an architecture for integrated knowledge representation, reasoning, control, and learning in robotics. I will begin by describing the underlying fundamental representational choices, processing commitments, cognitive principles, and theories, which allow us to leverage the complementary strengths of knowledge-based and data-driven methods. I will then illustrate the capabilities of the architecture in realistic simulation environments and on physical robots, in the context of core visual scene understanding, manipulation, and multiagent collaboration problems.

Bio:

Dr. Mohan Sridharan is a Chair in Robot Systems in the School of Informatics at the University of Edinburgh (UK). Prior to his current appointment, he held academic positions at the University of Birmingham (UK), The University of Auckland (NZ), and at Texas Tech University (USA). Dr. Sridharan received his Ph.D. from The University of Texas at Austin (USA). His research interests include knowledge representation, cognitive systems, and interactive learning as applied to robots and agents collaborating with humans. He is also interested in developing algorithms to promote automation and sustainability in non-robotics domains such as transportation, agriculture, and climate informatics. 

Web page: https://homepages.inf.ed.ac.uk/msridhar/