Tufts University’s Matthias Scheutz presents “Towards an Integrated Architecture for Open-World Human-Robot Interactions” as part of the IRIM Robotics Seminar Series. The event will be held in the Molecular Science and Engineering Bldg., Room G011, from 12-1 p.m. and is open to the public.

Abstract

“Open-world” human-robot interactions differ significantly from “closed-world” human-robot interactions because not all task-relevant information is available at the beginning of the interaction in the former (while it is in the latter). As a result, robots need to be able to acquire new knowledge online during task execution in open-world scenarios, which requires additional functionality in the cognitive robotic architecture to deal with unknown entities (such as words, objects, locations, actions, events, goals, etc.). In this presentation, I will provide an overview of our recent efforts towards developing an integrated architecture for open-world HRI and demonstrate some of the novel algorithms using videos from human-robot interaction scenarios.

Bio

Matthias Scheutz is a professor in Cognitive and Computer Science in the Department of Computer Science, an adjunct professor in the Department of Psychology, and the Bernard M. Gordon Senior Faculty Fellow in Engineering at Tufts University. He earned a Ph.D. in Philosophy from the University of Vienna in 1995, and a joint Ph.D. in Cognitive Science and Computer Science from Indiana University Bloomington in 1999.  Scheutz has published more than 200 peer-reviewed papers in artificial intelligence, artificial life, agent-based computing, natural language processing, cognitive modeling, robotics, human-robot interaction, and foundations of cognitive science. As director of the Human-Robot Interaction Laboratory at Tufts, his current research focuses on complex cognitive and affective robots with natural language capabilities for natural human-robot interaction.