1165 København K
Tlf: 21 17 95 65 (man-fre kl. 9-15)
Foredrag — Join us when Hang Yin from the Image Analysis, Computational Modelling, and Geometry section (IMAGE) at UCPH will give a DIKU Bits lecture.
Date & Time:
Lille UP1, DIKU, Universitetsparken 1, 2100 København Ø
Department of Computer Science, University of Copenhagen
Hang Yin, Assistant Professor – Tenure Track in the Image Analysis, Computational Modelling, and Geometry section (IMAGE)
Efficient Robot Learning under Uncertainty
Imagine a robot opening your dishwasher, taking out cleaned cutlery and placing them back into a cabinet. Such a task is seemingly less intelligence demanding than creating legible texts and image arts. Then why haven’t we got such AI systems? In this talk, I will present my opinions on the difficulties in learning embodied agents that live in a physical world. I will review some recent research efforts on acquiring robot skills through data-driven methods. Sharing with you my own research, I will discuss how our knowledge in modelling and controlling other cyber-physical systems may help in building efficient learning algorithms.
Which courses do you teach?
Which technology/research/projects/startup are you excited to see the evolution of?
New design, computing methods, and applications involving robots and broader AI systems.