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Building Plannable Representations with Mixed Reality.

E. Rosen, N. Kumar, N. Gopalan, D. Ullman, G. Konidaris, и S. Tellex. IROS, стр. 11146-11153. IEEE, (2020)

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Nishanth Abu Gudapati

Nishanth Abu-Gudapathi

Rohini Kumar

Pardeep Kumar

Aditya Kumar

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Trust the PRoC3S: Solving Long-Horizon Robotics Problems with LLMs and Constraint Satisfaction.A. Curtis, N. Kumar, J. Cao, T. Lozano-Pérez, и L. Kaelbling. CoRR, (2024)Learning Efficient Abstract Planning Models that Choose What to Predict.N. Kumar, W. McClinton, R. Chitnis, T. Silver, T. Lozano-Pérez, и L. Kaelbling. CoRL, том 229 из Proceedings of Machine Learning Research, стр. 2070-2095. PMLR, (2023)Just Label What You Need: Fine-Grained Active Selection for P&P through Partially Labeled Scenes.S. Segal, N. Kumar, S. Casas, W. Zeng, M. Ren, J. Wang, и R. Urtasun. CoRL, том 164 из Proceedings of Machine Learning Research, стр. 816-826. PMLR, (2021)Multi-Object Search using Object-Oriented POMDPs.A. Wandzel, Y. Oh, M. Fishman, N. Kumar, L. Wong, и S. Tellex. ICRA, стр. 7194-7200. IEEE, (2019)Learning Operators with Ignore Effects for Bilevel Planning in Continuous Domains.N. Kumar, W. McClinton, R. Chitnis, T. Silver, T. Lozano-Pérez, и L. Kaelbling. CoRR, (2022)Building Plannable Representations with Mixed Reality.E. Rosen, N. Kumar, N. Gopalan, D. Ullman, G. Konidaris, и S. Tellex. IROS, стр. 11146-11153. IEEE, (2020)Predicate Invention for Bilevel Planning.T. Silver, R. Chitnis, N. Kumar, W. McClinton, T. Lozano-Pérez, L. Kaelbling, и J. Tenenbaum. AAAI, стр. 12120-12129. AAAI Press, (2023)Preference-Conditioned Language-Guided Abstraction.A. Peng, A. Bobu, B. Li, T. Sumers, I. Sucholutsky, N. Kumar, T. Griffiths, и J. Shah. HRI, стр. 572-581. ACM, (2024)Task Scoping for Efficient Planning in Open Worlds (Student Abstract).N. Kumar, M. Fishman, N. Danas, S. Tellex, M. Littman, и G. Konidaris. AAAI, стр. 13845-13846. AAAI Press, (2020)