School of Computer Science and Communication at the Royal Institute of Technology, Sweden –
As social robots move out of controlled laboratory environments to be deployed in the real world, a long-standing barrier is the need to respond and adapt to dynamic environments without the need for operator intervention. In this talk, I will present my past and current research on artificial intelligence mechanisms that enable robots to interact with people in dynamic, real-world social environments. I will also discuss limitations of the current state of the art in robotic technology suitable for realistic social environments, arguing that an improved understanding of how robots perceive, reason and act depending on their surrounding social context can lead to more natural, enjoyable and useful human-robot interactions in the long-term.
Iolanda Leite is an Assistant Professor at the School of Computer Science and Communication at the Royal Institute of Technology, KTH. She holds a PhD in Information Systems and Computer Engineering from IST, University of Lisbon. She was a Research Assistant at the Intelligent Agents and Synthetic Characters Group (GAIPS) at INESC-ID Lisbon, a Postdoctoral Associate at the Yale Social Robotics Lab and an Associate Research Scientist at Disney Research Pittsburgh. Iolanda’s research interests are in the areas of artificial intelligence and human-robot interaction. She aims to develop autonomous socially intelligent robots that can assist people over long periods of time.
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