| PDDL planning with pretrained large language models T Silver, V Hariprasad, RS Shuttleworth, N Kumar, T Lozano-Pérez, ... NeurIPS 2022 Foundation Models for Decision Making Workshop, 2022 | 108 | 2022 |
| Predicate invention for bilevel planning T Silver, R Chitnis, N Kumar, W McClinton, T Lozano-Pérez, L Kaelbling, ... Proceedings of the AAAI Conference on Artificial Intelligence 37 (10), 12120 …, 2023 | 68* | 2023 |
| Multi-Object Search using Object-Oriented POMDPs A Wandzel, Y Oh, M Fishman, N Kumar, S Tellex 2019 International Conference on Robotics and Automation (ICRA), 7194-7200, 2019 | 47 | 2019 |
| Learning Efficient Abstract Planning Models that Choose What to Predict N Kumar, W McClinton, R Chitnis, T Silver, T Lozano-Pérez, LP Kaelbling Conference on Robot Learning, 2070-2095, 2023 | 26* | 2023 |
| Learning Deep Parameterized Skills from Demonstration for Re-targetable Visuomotor Control J Chang, N Kumar, S Hastings, A Gokaslan, D Romeres, D Jha, ... arXiv preprint arXiv:1910.10628, 2019 | 15 | 2019 |
| Pgmax: Factor graphs for discrete probabilistic graphical models and loopy belief propagation in jax G Zhou, A Dedieu, N Kumar, W Lehrach, M Lázaro-Gredilla, S Kushagra, ... arXiv preprint arXiv:2202.04110, 2022 | 10 | 2022 |
| Practice Makes Perfect: Planning to Learn Skill Parameter Policies N Kumar, T Silver, W McClinton, L Zhao, S Proulx, T Lozano-Pérez, ... arXiv preprint arXiv:2402.15025, 2024 | 9 | 2024 |
| 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, R Urtasun Conference on Robot Learning, 816-826, 2022 | 9* | 2022 |
| Task scoping: Building goal-specific abstractions for planning in complex domains N Kumar, M Fishman, N Danas, ML Littman, S Tellex, G Konidaris CoRR, abs/2010.08869, 2020 | 7* | 2020 |
| Preference-Conditioned Language-Guided Abstraction A Peng, A Bobu, BZ Li, TR Sumers, I Sucholutsky, N Kumar, TL Griffiths, ... Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot …, 2024 | 6 | 2024 |
| Building Plannable Representations with Mixed Reality E Rosen, N Kumar, N Gopalan, D Ullman, G Konidaris, S Tellex Proceedings of the 2020 IEEE/RSJ International Conference on Intelligent …, 2020 | 5 | 2020 |
| The Past and Present of Imitation Learning: A Citation Chain Study N Kumar arXiv preprint arXiv:2001.02328, 2020 | 4 | 2020 |
| Knowledge acquisition for robots through mixed reality head-mounted displays N Kumar, E Rosen, S Tellex | 2 | 2019 |
| Trust the PRoC3S: Solving Long-Horizon Robotics Problems with LLMs and Constraint Satisfaction A Curtis, N Kumar, J Cao, T Lozano-Pérez, LP Kaelbling arXiv preprint arXiv:2406.05572, 2024 | 1 | 2024 |
| Task Scoping for Efficient Planning in Open Worlds (Student Abstract) N Kumar, M Fishman, N Danas, S Tellex, M Littman, G Konidaris Proceedings of the AAAI Conference on Artificial Intelligence 34 (10), 13845 …, 2020 | 1 | 2020 |
| Adaptive Language-Guided Abstraction from Contrastive Explanations A Peng, BZ Li, I Sucholutsky, N Kumar, J Shah, J Andreas, A Bobu 8th Annual Conference on Robot Learning, 0 | 1* | |
| Open-World Task and Motion Planning via Vision-Language Model Inferred Constraints N Kumar, F Ramos, D Fox, CR Garrett arXiv preprint arXiv:2411.08253, 2024 | | 2024 |
| VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning Y Liang, N Kumar, H Tang, A Weller, JB Tenenbaum, T Silver, ... arXiv preprint arXiv:2410.23156, 2024 | | 2024 |
| AHA: A Vision-Language-Model for Detecting and Reasoning Over Failures in Robotic Manipulation J Duan, W Pumacay, N Kumar, YR Wang, S Tian, W Yuan, R Krishna, ... arXiv preprint arXiv:2410.00371, 2024 | | 2024 |
| Learning to Bridge the Gap: Efficient Novelty Recovery with Planning and Reinforcement Learning A Li, N Kumar, T Lozano-Pérez, L Kaelbling arXiv preprint arXiv:2409.19226, 2024 | | 2024 |
Tomas Lozano-PerezProfessor of Computer Science, MITVerified email at mit.edu
