Bio-inspired Control and Learning in Cognitive Robot Systems

Abstract

[evdate 2013-07-19] StatPhysHK Conference. Talk no. 14 Title from title slide.

IAS Program on Statistical Physics and Computational Neuroscience, held 2-19 July, 2013, at Hong Kong University of Science and Technology. Sponsors, Hong Kong Baptist University, Croucher Foundation, K. C. Wong Education Foundation.

StatPhysHK Conference, a satellite of STATPHYS 25, held 17-19 July, 2013, at Hong Kong University of Science and Technology and Hong Kong Baptist University.

Abstract: In a dynamic and changing world, a robust and effective robot system must have adaptive behaviors, incrementally learnable skills and a high-level conceptual understanding of the world it inhabits. I will first show several developed platforms of intelligent service robot systems, e.g. in medical assistance, rehabilitation, home service, and edutainment, etc. I will then present the bio-inspired control of multi-joint modular robots, a multifinger hand and arm-hand systems based on artificial neural networks and reinforcement learning. Finally, I will introduce a framework for representing robot experiences, planning and learning which is used in the EU RACE project.

Duration: 37 min.