Thesis: Ph. D., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2017. / Cataloged from PDF version of thesis. / Includes bibliographical references. / In this body of work, I present a situated and interactive agent perception system that can index into its world and, through a bidirectional exchange of referential gesture, direct its internal indexing system toward both well-known objects as well as simple visuo-spatial indexing in the world. The architecture presented incorporates a novel method for synthetic human-robot joint attention, an internal and automatic crowdsourcing system that provides opportunistic and lifelong robotic socio-visual learning, supports the bidirectional process of following referential behavior; and generates referential behavior useful for directing the gaze of human peers. This document critically probes questions in human-robot interaction around our understanding of gaze manipulation and memory imprinting on human partners in similar architectures and makes recommendations that may improve human-robot peer-to-peer learning. / by Nicholas Brian DePalma. / Ph. D.
| Identifer | oai:union.ndltd.org:MIT/oai:dspace.mit.edu:1721.1/112522 |
| Date | January 2017 |
| Creators | DePalma, Nicholas Brian |
| Contributors | Cynthia Breazeal., Program in Media Arts and Sciences (Massachusetts Institute of Technology), Program in Media Arts and Sciences (Massachusetts Institute of Technology) |
| Publisher | Massachusetts Institute of Technology |
| Source Sets | M.I.T. Theses and Dissertation |
| Language | English |
| Detected Language | English |
| Type | Thesis |
| Format | 184 pages, application/pdf |
| Rights | MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission., http://dspace.mit.edu/handle/1721.1/7582 |
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