Cognitive-developmental learning for a humanoid robot : a caregiver's gift

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.

Bibliographic Details
Main Author: Arsenio, Artur Miguel Do Amaral, 1972-
Other Authors: Rodney A. Brooks.
Format: Thesis
Language:en_US
Published: Massachusetts Institute of Technology 2005
Subjects:
Online Access:http://hdl.handle.net/1721.1/28716
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author Arsenio, Artur Miguel Do Amaral, 1972-
author2 Rodney A. Brooks.
author_facet Rodney A. Brooks.
Arsenio, Artur Miguel Do Amaral, 1972-
author_sort Arsenio, Artur Miguel Do Amaral, 1972-
collection MIT
description Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.
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spelling mit-1721.1/287162019-04-10T21:34:04Z Cognitive-developmental learning for a humanoid robot : a caregiver's gift Arsenio, Artur Miguel Do Amaral, 1972- Rodney A. Brooks. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004. Includes bibliographical references (p. 319-341). (cont.) which are then applied to developmentally acquire new object representations. The humanoid robot therefore sees the world through the caregiver's eyes. Building an artificial humanoid robot's brain, even at an infant's cognitive level, has been a long quest which still lies only in the realm of our imagination. Our efforts towards such a dimly imaginable task are developed according to two alternate and complementary views: cognitive and developmental. The goal of this work is to build a cognitive system for the humanoid robot, Cog, that exploits human caregivers as catalysts to perceive and learn about actions, objects, scenes, people, and the robot itself. This thesis addresses a broad spectrum of machine learning problems across several categorization levels. Actions by embodied agents are used to automatically generate training data for the learning mechanisms, so that the robot develops categorization autonomously. Taking inspiration from the human brain, a framework of algorithms and methodologies was implemented to emulate different cognitive capabilities on the humanoid robot Cog. This framework is effectively applied to a collection of AI, computer vision, and signal processing problems. Cognitive capabilities of the humanoid robot are developmentally created, starting from infant-like abilities for detecting, segmenting, and recognizing percepts over multiple sensing modalities. Human caregivers provide a helping hand for communicating such information to the robot. This is done by actions that create meaningful events (by changing the world in which the robot is situated) thus inducing the "compliant perception" of objects from these human-robot interactions. Self-exploration of the world extends the robot's knowledge concerning object properties. This thesis argues for enculturating humanoid robots using infant development as a metaphor for building a humanoid robot's cognitive abilities. A human caregiver redesigns a humanoid's brain by teaching the humanoid robot as she would teach a child, using children's learning aids such as books, drawing boards, or other cognitive artifacts. Multi-modal object properties are learned using these tools and inserted into several recognition schemes, by Artur Miguel Do Amaral Arsenio. Ph.D. 2005-09-27T17:57:06Z 2005-09-27T17:57:06Z 2004 2004 Thesis http://hdl.handle.net/1721.1/28716 59553659 en_US M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 341 p. 16402738 bytes 16449178 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science.
Arsenio, Artur Miguel Do Amaral, 1972-
Cognitive-developmental learning for a humanoid robot : a caregiver's gift
title Cognitive-developmental learning for a humanoid robot : a caregiver's gift
title_full Cognitive-developmental learning for a humanoid robot : a caregiver's gift
title_fullStr Cognitive-developmental learning for a humanoid robot : a caregiver's gift
title_full_unstemmed Cognitive-developmental learning for a humanoid robot : a caregiver's gift
title_short Cognitive-developmental learning for a humanoid robot : a caregiver's gift
title_sort cognitive developmental learning for a humanoid robot a caregiver s gift
topic Electrical Engineering and Computer Science.
url http://hdl.handle.net/1721.1/28716
work_keys_str_mv AT arsenioarturmigueldoamaral1972 cognitivedevelopmentallearningforahumanoidrobotacaregiversgift