Time: September 1, 2017, h. 02:00 pm
Location: Room Ofek, Polo scientifico e tecnologico "Fabio Ferrari", Building Povo 1, via Sommarive 5, Povo (Trento)
Zeynep Yucel, Okayama University
Design of social interaction robots is a very challenging research problem, which is very far from being solved considering the current state of artificial intelligence systems. In this talk, we will limit ourselves to two particular cases. One case relates a plain interaction scenario between a robot and a human particularly from a joint attention point of view. Another case relates a more complex scenario where the robot is employed in a public space. In this kind of setting, the robot is required to act in a socially acceptable way both while moving alone and as part of a pedestrian group. To this end, we will discuss the development of group motion models and recognition algorithms.
About the Speaker
Zeynep Yucel got her BS degree from Bogazici University, Istanbul, Turkey in 2003 in Electrical and Electronics Engineering, and her MS and PhD degrees from Bilkent University, Ankara, Turkey in 2005 and 2010. She worked as a postdoctoral researcher at ATR labs in Kyoto, Japan for 5 years. She was awarded a JSPS fellowship in 2016. Currently she serves as an assistant professor at Okayama University. Her research interests are investigation of human behavior and social interaction robots through signal processing, computer vision, pattern recognition techniques.
Contact person regarding this talk: Nicu Sebe, sebe [at] disi.unitn.it