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Aidan Curtis
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2020 – today
- 2024
- [i13]Aidan Curtis, George Matheos, Nishad Gothoskar, Vikash Mansinghka, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Partially Observable Task and Motion Planning with Uncertainty and Risk Awareness. CoRR abs/2403.10454 (2024) - [i12]Aidan Curtis, Nishanth Kumar, Jing Cao, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Trust the PRoC3S: Solving Long-Horizon Robotics Problems with LLMs and Constraint Satisfaction. CoRR abs/2406.05572 (2024) - 2023
- [c11]Aidan Curtis, Leslie Pack Kaelbling, Siddarth Jain:
Task-Directed Exploration in Continuous POMDPs for Robotic Manipulation of Articulated Objects. ICRA 2023: 3721-3728 - [c10]Jose Muguira-Iturralde, Aidan Curtis, Yilun Du, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Visibility-Aware Navigation Among Movable Obstacles. ICRA 2023: 10083-10089 - [i11]Nishad Gothoskar, Matin Ghavami, Eric Li, Aidan Curtis, Michael Noseworthy, Karen Chung, Brian Patton, William T. Freeman, Joshua B. Tenenbaum, Mirko Klukas, Vikash K. Mansinghka:
Bayes3D: fast learning and inference in structured generative models of 3D objects and scenes. CoRR abs/2312.08715 (2023) - 2022
- [c9]Aidan Curtis, Tom Silver, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Discovering State and Action Abstractions for Generalized Task and Motion Planning. AAAI 2022: 5377-5384 - [c8]Sugandha Sharma, Aidan Curtis, Marta Kryven, Josh Tenenbaum, Ila Fiete:
Efficient exploration of spatial environments through Map Induction using adaptable compositional map representations. CogSci 2022 - [c7]Sugandha Sharma, Aidan Curtis, Marta Kryven, Joshua B. Tenenbaum, Ila R. Fiete:
Map Induction: Compositional spatial submap learning for efficient exploration in novel environments. ICLR 2022 - [c6]Aidan Curtis, Xiaolin Fang, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Caelan Reed Garrett:
Long-Horizon Manipulation of Unknown Objects via Task and Motion Planning with Estimated Affordances. ICRA 2022: 1940-1946 - [c5]Ryan Yang, Tom Silver, Aidan Curtis, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
PG3: Policy-Guided Planning for Generalized Policy Generation. IJCAI 2022: 4686-4692 - [i10]Zhutian Yang, Aidan Curtis:
Let's Handle It: Generalizable Manipulation of Articulated Objects. CoRR abs/2202.11792 (2022) - [i9]Ryan Yang, Tom Silver, Aidan Curtis, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
PG3: Policy-Guided Planning for Generalized Policy Generation. CoRR abs/2204.10420 (2022) - [i8]Jose Muguira-Iturralde, Aidan Curtis, Yilun Du, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Visibility-Aware Navigation Among Movable Obstacles. CoRR abs/2212.02671 (2022) - [i7]Aidan Curtis, Leslie Pack Kaelbling, Siddarth Jain:
Task-Directed Exploration in Continuous POMDPs for Robotic Manipulation of Articulated Objects. CoRR abs/2212.04554 (2022) - 2021
- [c4]Tom Silver, Rohan Chitnis, Aidan Curtis, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks. AAAI 2021: 11962-11971 - [c3]Chuang Gan, Jeremy Schwartz, Seth Alter, Damian Mrowca, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Michael Lingelbach, Aidan Curtis, Kevin T. Feigelis, Daniel Bear, Dan Gutfreund, David D. Cox, Antonio Torralba, James J. DiCarlo, Josh Tenenbaum, Josh H. McDermott, Dan Yamins:
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation. NeurIPS Datasets and Benchmarks 2021 - [i6]Aidan Curtis, Xiaolin Fang, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Caelan Reed Garrett:
Long-Horizon Manipulation of Unknown Objects via Task and Motion Planning with Estimated Affordances. CoRR abs/2108.04145 (2021) - [i5]Aidan Curtis, Tom Silver, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Discovering State and Action Abstractions for Generalized Task and Motion Planning. CoRR abs/2109.11082 (2021) - [i4]Sugandha Sharma, Aidan Curtis, Marta Kryven, Joshua B. Tenenbaum, Ila R. Fiete:
Map Induction: Compositional spatial submap learning for efficient exploration in novel environments. CoRR abs/2110.12301 (2021) - 2020
- [c2]Aidan Curtis, Minjian Xin, Dilip Arumugam, Kevin T. Feigelis, Daniel Yamins:
Flexible and Efficient Long-Range Planning Through Curious Exploration. ICML 2020: 2238-2249 - [i3]Aidan Curtis, Minjian Xin, Dilip Arumugam, Kevin T. Feigelis, Daniel Yamins:
Flexible and Efficient Long-Range Planning Through Curious Exploration. CoRR abs/2004.10876 (2020) - [i2]Chuang Gan, Jeremy Schwartz, Seth Alter, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Damian Mrowca, Michael Lingelbach, Aidan Curtis, Kevin T. Feigelis, Daniel M. Bear, Dan Gutfreund, David D. Cox, James J. DiCarlo, Josh H. McDermott, Joshua B. Tenenbaum, Daniel L. K. Yamins:
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation. CoRR abs/2007.04954 (2020) - [i1]Tom Silver, Rohan Chitnis, Aidan Curtis, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks. CoRR abs/2009.05613 (2020)
2010 – 2019
- 2019
- [c1]Aidan Curtis, Amruta Pai, Jian Cao, Nidal Moukaddam, Ashutosh Sabharwal:
HealthSense: Software-defined Mobile-based Clinical Trials. MobiCom 2019: 32:1-32:15
Coauthor Index
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last updated on 2024-07-15 00:08 CEST by the dblp team
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