SEDRo: A Simulated Environment for Developmental Robotics
Even with impressive advances in application-specific models, we still lack knowledge about how to build a model that can learn in a human-like way and do multiple tasks. To learn in a human-like way, we need to provide a diverse experience that is comparable to humans. In this paper, we introduce o...
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creator | Pothula, Aishwarya Mondol, Md Ashaduzzaman Rubel Narasimhan, Sanath Islam, Sm Mazharul Park, Deokgun |
description | Even with impressive advances in application-specific models, we still lack
knowledge about how to build a model that can learn in a human-like way and do
multiple tasks. To learn in a human-like way, we need to provide a diverse
experience that is comparable to humans. In this paper, we introduce our
ongoing effort to build a simulated environment for developmental robotics
(SEDRo). SEDRo provides diverse human experiences ranging from those of a fetus
to a 12th-month-old. A series of simulated tests based on developmental
psychology will be used to evaluate the progress of a learning model. We
anticipate SEDRo to lower the cost of entry and facilitate research in the
developmental robotics community. |
doi_str_mv | 10.48550/arxiv.2009.01810 |
format | Article |
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knowledge about how to build a model that can learn in a human-like way and do
multiple tasks. To learn in a human-like way, we need to provide a diverse
experience that is comparable to humans. In this paper, we introduce our
ongoing effort to build a simulated environment for developmental robotics
(SEDRo). SEDRo provides diverse human experiences ranging from those of a fetus
to a 12th-month-old. A series of simulated tests based on developmental
psychology will be used to evaluate the progress of a learning model. We
anticipate SEDRo to lower the cost of entry and facilitate research in the
developmental robotics community.</description><identifier>DOI: 10.48550/arxiv.2009.01810</identifier><language>eng</language><subject>Computer Science - Artificial Intelligence</subject><creationdate>2020-09</creationdate><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,780,885</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2009.01810$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2009.01810$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Pothula, Aishwarya</creatorcontrib><creatorcontrib>Mondol, Md Ashaduzzaman Rubel</creatorcontrib><creatorcontrib>Narasimhan, Sanath</creatorcontrib><creatorcontrib>Islam, Sm Mazharul</creatorcontrib><creatorcontrib>Park, Deokgun</creatorcontrib><title>SEDRo: A Simulated Environment for Developmental Robotics</title><description>Even with impressive advances in application-specific models, we still lack
knowledge about how to build a model that can learn in a human-like way and do
multiple tasks. To learn in a human-like way, we need to provide a diverse
experience that is comparable to humans. In this paper, we introduce our
ongoing effort to build a simulated environment for developmental robotics
(SEDRo). SEDRo provides diverse human experiences ranging from those of a fetus
to a 12th-month-old. A series of simulated tests based on developmental
psychology will be used to evaluate the progress of a learning model. We
anticipate SEDRo to lower the cost of entry and facilitate research in the
developmental robotics community.</description><subject>Computer Science - Artificial Intelligence</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotj92KwjAUhHPjxaL7AHtlXqD1pGnTc7wT7e4KgqDel6RNIdA2EmtZ396fFQaGYWCYj7EvAXGKWQYLHf7cGCcAFINAAR-MjsXm4Jd8xY-uu7Z6sDUv-tEF33e2H3jjA9_Y0bb-_My65Qdv_OCqy4xNGt1e7Ofbp-z0XZzWv9Fu_7Ndr3aRVjlE2iqVEKVG1IpyRFWhyBJEAKmhSUiCMRayvJGGTCpqSvGhqnq0Ikcycsrm_7Ov7-U5uE6HW_lkKF8M8g4oaD-Q</recordid><startdate>20200903</startdate><enddate>20200903</enddate><creator>Pothula, Aishwarya</creator><creator>Mondol, Md Ashaduzzaman Rubel</creator><creator>Narasimhan, Sanath</creator><creator>Islam, Sm Mazharul</creator><creator>Park, Deokgun</creator><scope>AKY</scope><scope>GOX</scope></search><sort><creationdate>20200903</creationdate><title>SEDRo: A Simulated Environment for Developmental Robotics</title><author>Pothula, Aishwarya ; Mondol, Md Ashaduzzaman Rubel ; Narasimhan, Sanath ; Islam, Sm Mazharul ; Park, Deokgun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a670-ae662994b1d697886c815288003a0f2930bbe057f3b9b41d948948cc3a01789b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Computer Science - Artificial Intelligence</topic><toplevel>online_resources</toplevel><creatorcontrib>Pothula, Aishwarya</creatorcontrib><creatorcontrib>Mondol, Md Ashaduzzaman Rubel</creatorcontrib><creatorcontrib>Narasimhan, Sanath</creatorcontrib><creatorcontrib>Islam, Sm Mazharul</creatorcontrib><creatorcontrib>Park, Deokgun</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Pothula, Aishwarya</au><au>Mondol, Md Ashaduzzaman Rubel</au><au>Narasimhan, Sanath</au><au>Islam, Sm Mazharul</au><au>Park, Deokgun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>SEDRo: A Simulated Environment for Developmental Robotics</atitle><date>2020-09-03</date><risdate>2020</risdate><abstract>Even with impressive advances in application-specific models, we still lack
knowledge about how to build a model that can learn in a human-like way and do
multiple tasks. To learn in a human-like way, we need to provide a diverse
experience that is comparable to humans. In this paper, we introduce our
ongoing effort to build a simulated environment for developmental robotics
(SEDRo). SEDRo provides diverse human experiences ranging from those of a fetus
to a 12th-month-old. A series of simulated tests based on developmental
psychology will be used to evaluate the progress of a learning model. We
anticipate SEDRo to lower the cost of entry and facilitate research in the
developmental robotics community.</abstract><doi>10.48550/arxiv.2009.01810</doi><oa>free_for_read</oa></addata></record> |
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subjects | Computer Science - Artificial Intelligence |
title | SEDRo: A Simulated Environment for Developmental Robotics |
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