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I'm a second year PhD student in the InfoLab at MIT working with Boris Katz. I work in planning based around natural language processing (NLP) and grounded in perception. My work aims to both tackle classical planning problems and novel robotic and visually grounded planning problems. I use use computer vision techniques and NLP to solve real-world planning problems. In general, the idea is to learn the plans of agents by observation and then, when faced with a new scene, to generate the motion of the agent and what sentence would describe their plan. In essence, we use English as the planning language allowing us to take advantage of abstraction and ambiguity and we learn to plan efficiently by watching other agents. This can be used in visually grounded domains like in robotic interaction to understand what other agents will do in the future. In the long term I intend to apply this work to more classical domains, for example planning given a database of facts, by grounding natural language in programs over those facts.
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论文共 18 篇作者统计合作学者相似作者
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Oscar Mañas,Pietro Astolfi,Melissa Hall,Candace Ross, Jack Urbanek,Adina Williams,Aishwarya Agrawal, Adriana Romero-Soriano,Michal Drozdzal
arxiv(2024)
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Leshem Choshen,Ryan Cotterell, Michael Y. Hu,Tal Linzen,Aaron Mueller,Candace Ross,Alex Warstadt, Ethan Wilcox,Adina Williams, Chengxu Zhuang
arxiv(2024)
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AAAI 2024no. 13 (2024): 14220-14228
2023 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS, ICCVWpp.2770-2777, (2023)
Melissa Hall, Bobbie Chern,Laura Gustafson, Denisse Ventura, Harshad Kulkarni,Candace Ross,Nicolas Usunier
arxiv(2023)
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