{"id":1507,"date":"2014-10-17T08:31:30","date_gmt":"2014-10-17T08:31:30","guid":{"rendered":"http:\/\/www.open-ease.org\/?p=1507"},"modified":"2016-10-17T13:31:44","modified_gmt":"2016-10-17T13:31:44","slug":"nlp-related-work","status":"publish","type":"post","link":"http:\/\/www.open-ease.org\/nlp-related-work\/","title":{"rendered":"Natural-language understanding for intelligent robots – Related work"},"content":{"rendered":"

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Publications<\/h3><\/div>\n\n
<\/a>[1]<\/td> Daniel Nyga, Michael Beetz, \"Cloud-based Probabilistic Knowledge Services for Instruction Interpretation\", Chapter in Robotics Research<\/i>, Springer, vol. 2, pp. 649-664, 2018.\n<\/span> [bib]<\/a><\/td><\/tr>\n
<\/a>[2]<\/td> Daniel Nyga, Subhro Roy, Rohan Paul, Daehyung Park, Mihai Pomarlan, Michael Beetz, Nicholas Roy, \"Grounding Robot Plans from Natural Language Instructions with Incomplete World Knowledge\"<\/a>, In 2nd Conference on Robot Learning (CoRL 2018)<\/i>, Zurich, Switzerland, 2018.\n<\/span> [bib]<\/a> [pdf]<\/a><\/td><\/tr>\n
<\/a>[3]<\/td> Mihai Pomarlan, Daniel Nyga, Mareike Picklum, Sebastian Koralewski, Michael Beetz, \"Deeper Understanding of Vague Instructions through Simulated Execution (Extended Abstract)\"<\/a>, In Proceedings of the 2017 International Conference on Autonomous Agents & Multiagent Systems<\/i>, International Foundation for Autonomous Agents and Multiagent Systems, 2017.\n<\/span> [bib]<\/a> [pdf]<\/a><\/td><\/tr>\n
<\/a>[4]<\/td> Daniel Nyga, \"Interpretation of Natural-language Robot Instructions: Probabilistic Knowledge Representation, Learning, and Reasoning\"<\/a>, PhD thesis, University of Bremen, 2017.\n<\/span> [bib]<\/a> [pdf]<\/a><\/td><\/tr>\n
<\/a>[5]<\/td> Daniel Nyga, Mareike Picklum, Sebastian Koralewski, Michael Beetz, \"Instruction Completion through Instance-based Learning and Semantic Analogical Reasoning\"<\/a>, In International Conference on Robotics and Automation (ICRA)<\/i>, Singapore, 2017.\n<\/span> [bib]<\/a> [pdf]<\/a><\/td><\/tr>\n
<\/a>[6]<\/td> Daniel Nyga, Mareike Picklum, Michael Beetz, \"What No Robot Has Seen Before -- Probabilistic Interpretation of Natural-language Object Descriptions\"<\/a>, In International Conference on Robotics and Automation (ICRA)<\/i>, Singapore, 2017.\n<\/span> [bib]<\/a> [pdf]<\/a><\/td><\/tr>\n
<\/a>[7]<\/td> Daniel Nyga, Michael Beetz, \"Cloud-based Probabilistic Knowledge Services for Instruction Interpretation\"<\/a>, In International Symposium of Robotics Research (ISRR)<\/i>, Sestri Levante (Genoa), Italy, 2015.\n<\/span> [bib]<\/a> [pdf]<\/a><\/td><\/tr>\n
<\/a>[8]<\/td> Daniel Nyga, Michael Beetz, \"Reasoning about Unmodelled Concepts -- Incorporating Class Taxonomies in Probabilistic Relational Models\"<\/a>, In Arxiv.org<\/i>, 2015. Preprint\n<\/span> [bib]<\/a> [pdf]<\/a><\/td><\/tr>\n
<\/a>[9]<\/td> Gheorghe Lisca, Daniel Nyga, Ferenc Bálint-Benczédi, Hagen Langer, Michael Beetz, \"Towards Robots Conducting Chemical Experiments\"<\/a>, In IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)<\/i>, Hamburg, Germany, 2015.\n<\/span> [bib]<\/a> [pdf]<\/a><\/td><\/tr>\n
<\/a>[10]<\/td> Nicholas Hubert Kirk, Daniel Nyga, Michael Beetz, \"Controlled Natural Languages for Language Generation in Artificial Cognition\"<\/a>, In IEEE International Conference on Robotics and Automation (ICRA)<\/i>, Hong Kong, China, 2014.\n<\/span> [bib]<\/a> [pdf]<\/a><\/td><\/tr>\n
<\/a>[11]<\/td> Daniel Nyga, Michael Beetz, \"Everything Robots Always Wanted to Know about Housework (But were afraid to ask)\"<\/a>, In 2012 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)<\/i>, Vilamoura, Portugal, 2012.\n<\/span> [bib]<\/a> [pdf]<\/a><\/td><\/tr>\n<\/table>\n
Powered by bibtexbrowser<\/a><\/div>\n<\/p>\n","protected":false},"excerpt":{"rendered":"

Publications [12] Daniel Nyga, Michael Beetz, “Cloud-based Probabilistic Knowledge Services for Instruction Interpretation”, Chapter in Robotics Research, Springer, vol. 2, pp. 649-664, 2018. [bib] [13] Daniel Nyga, Subhro Roy, Rohan Paul, Daehyung Park, Mihai Pomarlan, Michael Beetz, Nicholas Roy, “Grounding Robot Plans from Natural Language Instructions with Incomplete World Knowledge”, In 2nd Conference on Robot […]<\/p>\n","protected":false},"author":4,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"_links":{"self":[{"href":"http:\/\/www.open-ease.org\/wp-json\/wp\/v2\/posts\/1507"}],"collection":[{"href":"http:\/\/www.open-ease.org\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.open-ease.org\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.open-ease.org\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"http:\/\/www.open-ease.org\/wp-json\/wp\/v2\/comments?post=1507"}],"version-history":[{"count":9,"href":"http:\/\/www.open-ease.org\/wp-json\/wp\/v2\/posts\/1507\/revisions"}],"predecessor-version":[{"id":3028,"href":"http:\/\/www.open-ease.org\/wp-json\/wp\/v2\/posts\/1507\/revisions\/3028"}],"wp:attachment":[{"href":"http:\/\/www.open-ease.org\/wp-json\/wp\/v2\/media?parent=1507"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.open-ease.org\/wp-json\/wp\/v2\/categories?post=1507"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.open-ease.org\/wp-json\/wp\/v2\/tags?post=1507"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}