Aidan Curtis

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 25

Top Topics

Articulated Objects

Motion Planning

Top Venues

Publications

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 (2024)
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 (2024)
Seiji Shaw, Aidan Curtis, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Nicholas Roy
Towards Practical Finite Sample Bounds for Motion Planning in TAMP. CoRR (2024)
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 (2023)
Aidan Curtis, Leslie Pack Kaelbling, Siddarth Jain
Task-Directed Exploration in Continuous POMDPs for Robotic Manipulation of Articulated Objects. ICRA (2023)
Jose Muguira-Iturralde, Aidan Curtis, Yilun Du, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Visibility-Aware Navigation Among Movable Obstacles. ICRA (2023)
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)
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)
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)
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)
Zhutian Yang, Aidan Curtis
Let's Handle It: Generalizable Manipulation of Articulated Objects. CoRR (2022)
Aidan Curtis, Leslie Pack Kaelbling, Siddarth Jain
Task-Directed Exploration in Continuous POMDPs for Robotic Manipulation of Articulated Objects. CoRR (2022)
Jose Muguira-Iturralde, Aidan Curtis, Yilun Du, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Visibility-Aware Navigation Among Movable Obstacles. CoRR (2022)
Ryan Yang, Tom Silver, Aidan Curtis, Tomás Lozano-Pérez, Leslie Pack Kaelbling
PG3: Policy-Guided Planning for Generalized Policy Generation. CoRR (2022)
Ryan Yang, Tom Silver, Aidan Curtis, Tomás Lozano-Pérez, Leslie Pack Kaelbling
PG3: Policy-Guided Planning for Generalized Policy Generation. IJCAI (2022)
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 (2021)
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 (2021)
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)
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 (2021)
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)
Aidan Curtis, Minjian Xin, Dilip Arumugam, Kevin T. Feigelis, Daniel Yamins
Flexible and Efficient Long-Range Planning Through Curious Exploration. ICML (2020)
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 (2020)
Aidan Curtis, Minjian Xin, Dilip Arumugam, Kevin T. Feigelis, Daniel Yamins
Flexible and Efficient Long-Range Planning Through Curious Exploration. CoRR (2020)
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 (2020)
Aidan Curtis, Amruta Pai, Jian Cao, Nidal Moukaddam, Ashutosh Sabharwal
HealthSense: Software-defined Mobile-based Clinical Trials. MobiCom (2019)