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Aidan Curtis
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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
2812020
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
852021
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
542022
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
302022
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
222022
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
132019
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
72023
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
72021
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
52022
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
52020
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
22024
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
12023
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
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
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
2023
Object-Centric Planning for Long-Horizon Robotic Manipulation and Navigation
A Curtis
Massachusetts Institute of Technology, 2023
2023
Let's Handle It: Generalizable Manipulation of Articulated Objects
Z Yang, A Curtis
arXiv preprint arXiv:2202.11792, 2022
2022
Efficient exploration of spatial environments through Map Induction using adaptable compositional map representations
S Sharma, A Curtis, M Kryven, J Tenenbaum, I Fiete
Proceedings of the Annual Meeting of the Cognitive Science Society 44 (44), 2022
2022
Firehose: Wildfire Prevention and Management using Deep Reinforcement Learning
W Shen, A Curtis
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Articles 1–20