| Threedworld: A platform for interactive multi-modal physical simulation C Gan, J Schwartz, S Alter, D Mrowca, M Schrimpf, J Traer, J De Freitas, ... arXiv preprint arXiv:2007.04954, 2020 | 303 | 2020 |
| Planning with learned object importance in large problem instances using graph neural networks T Silver, R Chitnis, A Curtis, JB Tenenbaum, T Lozano-Pérez, ... Proceedings of the AAAI conference on artificial intelligence 35 (13), 11962 …, 2021 | 93 | 2021 |
| Long-horizon manipulation of unknown objects via task and motion planning with estimated affordances A Curtis, X Fang, LP Kaelbling, T Lozano-Pérez, CR Garrett 2022 International Conference on Robotics and Automation (ICRA), 1940-1946, 2022 | 62 | 2022 |
| Discovering state and action abstractions for generalized task and motion planning A Curtis, T Silver, JB Tenenbaum, T Lozano-Pérez, L Kaelbling Proceedings of the AAAI conference on artificial intelligence 36 (5), 5377-5384, 2022 | 32 | 2022 |
| A spatiotemporal map of reading aloud O Woolnough, C Donos, A Curtis, PS Rollo, ZJ Roccaforte, S Dehaene, ... Journal of Neuroscience 42 (27), 5438-5450, 2022 | 23 | 2022 |
| HealthSense: software-defined mobile-based clinical trials A Curtis, A Pai, J Cao, N Moukaddam, A Sabharwal The 25th Annual International Conference on Mobile Computing and Networking …, 2019 | 13 | 2019 |
| Task-directed exploration in continuous pomdps for robotic manipulation of articulated objects A Curtis, L Kaelbling, S Jain 2023 IEEE International Conference on Robotics and Automation (ICRA), 3721-3728, 2023 | 8 | 2023 |
| Map induction: Compositional spatial submap learning for efficient exploration in novel environments S Sharma, A Curtis, M Kryven, J Tenenbaum, I Fiete arXiv preprint arXiv:2110.12301, 2021 | 8 | 2021 |
| Partially Observable Task and Motion Planning with Uncertainty and Risk Awareness A Curtis, G Matheos, N Gothoskar, V Mansinghka, J Tenenbaum, ... arXiv preprint arXiv:2403.10454, 2024 | 6 | 2024 |
| Pg3: Policy-guided planning for generalized policy generation R Yang, T Silver, A Curtis, T Lozano-Perez, LP Kaelbling arXiv preprint arXiv:2204.10420, 2022 | 5 | 2022 |
| Flexible and efficient long-range planning through curious exploration A Curtis, M Xin, D Arumugam, K Feigelis, D Yamins International Conference on Machine Learning, 2238-2249, 2020 | 5 | 2020 |
| 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 |
| Bayes3D: fast learning and inference in structured generative models of 3D objects and scenes N Gothoskar, M Ghavami, E Li, A Curtis, M Noseworthy, K Chung, ... arXiv preprint arXiv:2312.08715, 2023 | 1 | 2023 |
| Visibility-Aware Navigation Among Movable Obstacles J Muguira-Iturralde, A Curtis, Y Du, LP Kaelbling, T Lozano-Pérez 2023 IEEE International Conference on Robotics and Automation (ICRA), 10083 …, 2023 | 1 | 2023 |
| Hierarchical Hybrid Learning for Long-Horizon Contact-Rich Robotic Assembly J Sun, A Curtis, Y You, Y Xu, M Koehle, L Guibas, S Chitta, M Schwager, ... arXiv preprint arXiv:2409.16451, 2024 | | 2024 |
| Towards Practical Finite Sample Bounds for Motion Planning in TAMP S Shaw, A Curtis, LP Kaelbling, T Lozano-Pérez, N Roy arXiv preprint arXiv:2407.17394, 2024 | | 2024 |
| Let's Handle It: Generalizable Manipulation of Articulated Objects Z Yang, A Curtis arXiv preprint arXiv:2202.11792, 2022 | | 2022 |
| Firehose: Wildfire Prevention and Management using Deep Reinforcement Learning W Shen, A Curtis | | |
