Towards an Integrated Architecture for Open-World Human-Robot Interactions

Towards an Integrated Architecture for Open-World Human-Robot Interactions Scheutz, Matthias “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. Presented on January 27, 2016 at 12:00 p.m. in the Molecular Science and Engineering Building, room G011.; 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. 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.; Rumtime: 50:10 minutes

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