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ORCIDTomás Lozano-Pérez
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- affiliation: Massachusetts Institute of Technology, Cambridge, USA
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2020 – today
- 2024
[j34]Rachel M. Holladay
, Tomás Lozano-Pérez, Alberto Rodriguez:
Robust planning for multi-stage forceful manipulation. Int. J. Robotics Res. 43(3): 330-353 (2024)- [i76]Nishanth Kumar, Tom Silver, Willie McClinton, Linfeng Zhao, Stephen Proulx, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Jennifer L. Barry:
Practice Makes Perfect: Planning to Learn Skill Parameter Policies. CoRR abs/2402.15025 (2024) - [i75]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) - [i74]Yiqing Xu, Jiayuan Mao, Yilun Du, Tomás Lozano-Pérez, Leslie Pack Kaelbling, David Hsu:
"Set It Up!": Functional Object Arrangement with Compositional Generative Models. CoRR abs/2405.11928 (2024) - [i73]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) - [i72]Seiji Shaw, Aidan Curtis, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Nicholas Roy:
Towards Practical Finite Sample Bounds for Motion Planning in TAMP. CoRR abs/2407.17394 (2024) - [i71]Xiaolin Fang, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Embodied Uncertainty-Aware Object Segmentation. CoRR abs/2408.04760 (2024) - [i70]Sahit Chintalapudi, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Bi-Level Belief Space Search for Compliant Part Mating Under Uncertainty. CoRR abs/2409.15774 (2024) - [i69]Alicia Li, Nishanth Kumar, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Learning to Bridge the Gap: Efficient Novelty Recovery with Planning and Reinforcement Learning. CoRR abs/2409.19226 (2024) - [i68]Zhutian Yang, Caelan Reed Garrett, Dieter Fox, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Guiding Long-Horizon Task and Motion Planning with Vision Language Models. CoRR abs/2410.02193 (2024) - [i67]Yajvan Ravan, Zhutian Yang, Tao Chen, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Combining Planning and Diffusion for Mobility with Unknown Dynamics. CoRR abs/2410.06911 (2024) - [i66]Xiaolin Fang, Bo-Ruei Huang, Jiayuan Mao, Jasmine Shone, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Keypoint Abstraction using Large Models for Object-Relative Imitation Learning. CoRR abs/2410.23254 (2024) - [i65]Aditya Agarwal, Gaurav Singh, Bipasha Sen, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
SceneComplete: Open-World 3D Scene Completion in Complex Real World Environments for Robot Manipulation. CoRR abs/2410.23643 (2024) - 2023
- [c126]Zhezheng Luo, Jiayuan Mao, Jiajun Wu, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling:
Learning Rational Subgoals from Demonstrations and Instructions. AAAI 2023: 12068-12078 - [c125]Tom Silver, Rohan Chitnis, Nishanth Kumar, Willie McClinton, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Joshua B. Tenenbaum:
Predicate Invention for Bilevel Planning. AAAI 2023: 12120-12129 - [c124]Jiayuan Mao, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling:
Learning Reusable Manipulation Strategies. CoRL 2023: 1467-1483 - [c123]Nishanth Kumar, Willie McClinton, Rohan Chitnis, Tom Silver, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Learning Efficient Abstract Planning Models that Choose What to Predict. CoRL 2023: 2070-2095 - [c122]Jorge Mendez-Mendez, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Embodied Lifelong Learning for Task and Motion Planning. CoRL 2023: 2134-2150 - [c121]Zhutian Yang, Jiayuan Mao, Yilun Du, Jiajun Wu, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Compositional Diffusion-Based Continuous Constraint Solvers. CoRL 2023: 3242-3265 - [c120]Ethan Chun, Yilun Du, Anthony Simeonov, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Local Neural Descriptor Fields: Locally Conditioned Object Representations for Manipulation. ICRA 2023: 1830-1836 - [c119]Jose Muguira-Iturralde, Aidan Curtis, Yilun Du, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Visibility-Aware Navigation Among Movable Obstacles. ICRA 2023: 10083-10089 - [c118]Jiayuan Mao, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling:
What Planning Problems Can A Relational Neural Network Solve? NeurIPS 2023 - [c117]Zhutian Yang, Caelan Reed Garrett, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Dieter Fox:
Sequence-Based Plan Feasibility Prediction for Efficient Task and Motion Planning. Robotics: Science and Systems 2023 - [i64]Ethan Chun, Yilun Du, Anthony Simeonov, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Local Neural Descriptor Fields: Locally Conditioned Object Representations for Manipulation. CoRR abs/2302.03573 (2023) - [i63]Zhezheng Luo, Jiayuan Mao, Jiajun Wu, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling:
Learning Rational Subgoals from Demonstrations and Instructions. CoRR abs/2303.05487 (2023) - [i62]Jiayuan Mao, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling:
PDSketch: Integrated Planning Domain Programming and Learning. CoRR abs/2303.05501 (2023) - [i61]Xiaolin Fang, Caelan Reed Garrett, Clemens Eppner, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Dieter Fox:
DiMSam: Diffusion Models as Samplers for Task and Motion Planning under Partial Observability. CoRR abs/2306.13196 (2023) - [i60]Jorge A. Mendez, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Embodied Lifelong Learning for Task and Motion Planning. CoRR abs/2307.06870 (2023) - [i59]Zhutian Yang, Jiayuan Mao, Yilun Du, Jiajun Wu, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Compositional Diffusion-Based Continuous Constraint Solvers. CoRR abs/2309.00966 (2023) - [i58]Ferran Alet, Erica Weng, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Neural Relational Inference with Fast Modular Meta-learning. CoRR abs/2310.07015 (2023) - [i57]Jiayuan Mao, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Learning Reusable Manipulation Strategies. CoRR abs/2311.03293 (2023) - [i56]Jiayuan Mao, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling:
What Planning Problems Can A Relational Neural Network Solve? CoRR abs/2312.03682 (2023) - 2022
- [j33]Beomjoon Kim, Luke Shimanuki, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Representation, learning, and planning algorithms for geometric task and motion planning. Int. J. Robotics Res. 41(2): 210-231 (2022) - [c116]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 - [c115]Tom Silver, Ashay Athalye, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Learning Neuro-Symbolic Skills for Bilevel Planning. CoRL 2022: 701-714 - [c114]Anthony Simeonov, Yilun Du, Yen-Chen Lin, Alberto Rodriguez Garcia, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Pulkit Agrawal:
SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields. CoRL 2022: 835-846 - [c113]Sathwik Karnik, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Gustavo Nunes Goretkin:
Fully Persistent Spatial Data Structures for Efficient Queries in Path-Dependent Motion Planning Applications. ICRA 2022: 329-335 - [c112]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 - [c111]Ryan Yang, Tom Silver, Aidan Curtis, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
PG3: Policy-Guided Planning for Generalized Policy Generation. IJCAI 2022: 4686-4692 - [c110]Rohan Chitnis, Tom Silver, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Learning Neuro-Symbolic Relational Transition Models for Bilevel Planning. IROS 2022: 4166-4173 - [c109]Yilun Du, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Learning Object-Based State Estimators for Household Robots. IROS 2022: 12558-12565 - [c108]Jiayuan Mao, Tomás Lozano-Pérez, Josh Tenenbaum, Leslie Pack Kaelbling:
PDSketch: Integrated Domain Programming, Learning, and Planning. NeurIPS 2022 - [i55]Beomjoon Kim, Luke Shimanuki, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Representation, learning, and planning algorithms for geometric task and motion planning. CoRR abs/2203.04605 (2022) - [i54]Tom Silver, Rohan Chitnis, Nishanth Kumar, Willie McClinton, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Joshua B. Tenenbaum:
Inventing Relational State and Action Abstractions for Effective and Efficient Bilevel Planning. CoRR abs/2203.09634 (2022) - [i53]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) - [i52]Sathwik Karnik, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Gustavo Nunes Goretkin:
Fully Persistent Spatial Data Structures for Efficient Queries in Path-Dependent Motion Planning Applications. CoRR abs/2206.02305 (2022) - [i51]Tom Silver, Ashay Athalye, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Learning Neuro-Symbolic Skills for Bilevel Planning. CoRR abs/2206.10680 (2022) - [i50]Rachel M. Holladay, Tomás Lozano-Pérez, Alberto Rodriguez:
Robust Planning for Multi-stage Forceful Manipulation. CoRR abs/2208.00319 (2022) - [i49]Nishanth Kumar, Willie McClinton, Rohan Chitnis, Tom Silver, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Learning Operators with Ignore Effects for Bilevel Planning in Continuous Domains. CoRR abs/2208.07737 (2022) - [i48]Anthony Simeonov, Yilun Du, Yen-Chen Lin, Alberto Rodriguez, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Pulkit Agrawal:
SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields. CoRR abs/2211.09786 (2022) - [i47]Jose Muguira-Iturralde, Aidan Curtis, Yilun Du, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Visibility-Aware Navigation Among Movable Obstacles. CoRR abs/2212.02671 (2022) - 2021
- [j32]Caelan Reed Garrett, Rohan Chitnis, Rachel M. Holladay, Beomjoon Kim, Tom Silver, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Integrated Task and Motion Planning. Annu. Rev. Control. Robotics Auton. Syst. 4: 265-293 (2021) - [j31]Zi Wang, Caelan Reed Garrett, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Learning compositional models of robot skills for task and motion planning. Int. J. Robotics Res. 40(6-7) (2021) - [c107]Rohan Chitnis, Tom Silver, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling. AAAI 2021: 11782-11791 - [c106]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 - [c105]Ferran Alet, Javier Lopez-Contreras, James Koppel, Maxwell I. Nye, Armando Solar-Lezama, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Joshua B. Tenenbaum:
A large-scale benchmark for few-shot program induction and synthesis. ICML 2021: 175-186 - [c104]Skye Thompson, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Shape-Based Transfer of Generic Skills. ICRA 2021: 5996-6002 - [c103]Rachel M. Holladay, Tomás Lozano-Pérez, Alberto Rodriguez:
Planning for Multi-stage Forceful Manipulation. ICRA 2021: 6556-6562 - [c102]Tom Silver, Rohan Chitnis, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Learning Symbolic Operators for Task and Motion Planning. IROS 2021: 3182-3189 - [c101]Yoonchang Sung, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Learning When to Quit: Meta-Reasoning for Motion Planning. IROS 2021: 4692-4699 - [c100]Ferran Alet, Maria Bauzá, Kenji Kawaguchi, Nurullah Giray Kuru, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time. NeurIPS 2021: 29206-29217 - [c99]Michael Noseworthy, Isaiah Brand, Caris Moses, Sebastian Castro, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Nicholas Roy:
Active Learning of Abstract Plan Feasibility. Robotics: Science and Systems 2021 - [i46]Rachel M. Holladay, Tomás Lozano-Pérez, Alberto Rodriguez:
Planning for Multi-stage Forceful Manipulation. CoRR abs/2101.02679 (2021) - [i45]Tom Silver, Rohan Chitnis, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Learning Symbolic Operators for Task and Motion Planning. CoRR abs/2103.00589 (2021) - [i44]Yoonchang Sung, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Learning When to Quit: Meta-Reasoning for Motion Planning. CoRR abs/2103.04374 (2021) - [i43]Rohan Chitnis, Tom Silver, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Learning Neuro-Symbolic Relational Transition Models for Bilevel Planning. CoRR abs/2105.14074 (2021) - [i42]Michael Noseworthy, Caris Moses, Isaiah Brand, Sebastian Castro, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Nicholas Roy:
Active Learning of Abstract Plan Feasibility. CoRR abs/2107.00683 (2021) - [i41]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) - [i40]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) - [i39]Nicholas Roy, Ingmar Posner, Tim D. Barfoot, Philippe Beaudoin, Yoshua Bengio, Jeannette Bohg, Oliver Brock, Isabelle Depatie, Dieter Fox, Daniel E. Koditschek, Tomás Lozano-Pérez, Vikash Mansinghka, Christopher J. Pal, Blake A. Richards, Dorsa Sadigh, Stefan Schaal, Gaurav S. Sukhatme, Denis Thérien, Marc Toussaint, Michiel van de Panne:
From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence. CoRR abs/2110.15245 (2021) - [i38]Leslie Pack Kaelbling, Alex LaGrassa, Tomás Lozano-Pérez:
Specifying and achieving goals in open uncertain robot-manipulation domains. CoRR abs/2112.11199 (2021) - 2020
- [c98]Beomjoon Kim, Kyungjae Lee, Sungbin Lim, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Monte Carlo Tree Search in Continuous Spaces Using Voronoi Optimistic Optimization with Regret Bounds. AAAI 2020: 9916-9924 - [c97]Caelan Reed Garrett, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
PDDLStream: Integrating Symbolic Planners and Blackbox Samplers via Optimistic Adaptive Planning. ICAPS 2020: 440-448 - [c96]Rohan Chitnis, Tom Silver, Beomjoon Kim, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs. CoRL 2020: 64-79 - [c95]Ferran Alet, Martin F. Schneider, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Meta-learning curiosity algorithms. ICLR 2020 - [c94]Caelan Reed Garrett, Chris Paxton, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Dieter Fox:
Online Replanning in Belief Space for Partially Observable Task and Motion Problems. ICRA 2020: 5678-5684 - [c93]Caris Moses, Michael Noseworthy, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Nicholas Roy:
Visual Prediction of Priors for Articulated Object Interaction. ICRA 2020: 10480-10486 - [c92]Caelan Reed Garrett, Yijiang Huang, Tomás Lozano-Pérez, Caitlin Mueller:
Scalable and Probabilistically Complete Planning for Robotic Spatial Extrusion. Robotics: Science and Systems 2020 - [i37]Rohan Chitnis, Tom Silver, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
GLIB: Exploration via Goal-Literal Babbling for Lifted Operator Learning. CoRR abs/2001.08299 (2020) - [i36]Caelan Reed Garrett, Yijiang Huang, Tomás Lozano-Pérez, Caitlin Tobin Mueller:
Scalable and Probabilistically Complete Planning for Robotic Spatial Extrusion. CoRR abs/2002.02360 (2020) - [i35]Ferran Alet, Martin F. Schneider, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Meta-learning curiosity algorithms. CoRR abs/2003.05325 (2020) - [i34]Caris Moses, Michael Noseworthy, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Nicholas Roy:
Visual Prediction of Priors for Articulated Object Interaction. CoRR abs/2006.03979 (2020) - [i33]Zi Wang, Caelan Reed Garrett, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Learning compositional models of robot skills for task and motion planning. CoRR abs/2006.06444 (2020) - [i32]Rohan Chitnis, Tom Silver, Beomjoon Kim, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs. CoRR abs/2007.13202 (2020) - [i31]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) - [i30]Ferran Alet, Kenji Kawaguchi, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time. CoRR abs/2009.10623 (2020) - [i29]Caelan Reed Garrett, Rohan Chitnis, Rachel M. Holladay, Beomjoon Kim, Tom Silver, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Integrated Task and Motion Planning. CoRR abs/2010.01083 (2020) - [i28]Yilun Du, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Learning Online Data Association. CoRR abs/2011.03183 (2020)
2010 – 2019
- 2019
- [j30]Beomjoon Kim, Zi Wang, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Learning to guide task and motion planning using score-space representation. Int. J. Robotics Res. 38(7) (2019) - [c91]Beomjoon Kim, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Adversarial Actor-Critic Method for Task and Motion Planning Problems Using Planning Experience. AAAI 2019: 8017-8024 - [c90]Rohan Chitnis, Tomás Lozano-Pérez:
Learning Compact Models for Planning with Exogenous Processes. CoRL 2019: 813-822 - [c89]Ferran Alet, Adarsh Keshav Jeewajee, Maria Bauzá Villalonga, Alberto Rodriguez, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Graph Element Networks: adaptive, structured computation and memory. ICML 2019: 212-222 - [c88]Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Learning Quickly to Plan Quickly Using Modular Meta-Learning. ICRA 2019: 7865-7871 - [c87]Maria Bauzá, Ferran Alet, Yen-Chen Lin, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Phillip Isola, Alberto Rodriguez:
Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGB-D video. IROS 2019: 4265-4272 - [c86]Rachel M. Holladay, Tomás Lozano-Pérez, Alberto Rodriguez:
Force-and-Motion Constrained Planning for Tool Use. IROS 2019: 7409-7416 - [c85]Ferran Alet, Erica Weng, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Neural Relational Inference with Fast Modular Meta-learning. NeurIPS 2019: 11804-11815 - [c84]Péter Karkus, Xiao Ma, David Hsu, Leslie Pack Kaelbling, Wee Sun Lee, Tomás Lozano-Pérez:
Differentiable Algorithm Networks for Composable Robot Learning. Robotics: Science and Systems 2019 - [i27]Gustavo Goretkin, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Look before you sweep: Visibility-aware motion planning. CoRR abs/1901.06109 (2019) - [i26]Ferran Alet, Adarsh K. Jeewajee, Maria Bauzá, Alberto Rodriguez, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Graph Element Networks: adaptive, structured computation and memory. CoRR abs/1904.09019 (2019) - [i25]Péter Karkus, Xiao Ma, David Hsu, Leslie Pack Kaelbling, Wee Sun Lee, Tomás Lozano-Pérez:
Differentiable Algorithm Networks for Composable Robot Learning. CoRR abs/1905.11602 (2019) - [i24]Rohan Chitnis, Tomás Lozano-Pérez:
Learning Compact Models for Planning with Exogenous Processes. CoRR abs/1909.13870 (2019) - [i23]Maria Bauzá, Ferran Alet, Yen-Chen Lin, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Phillip Isola, Alberto Rodriguez:
Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGB-D video. CoRR abs/1910.00618 (2019) - [i22]Caelan Reed Garrett, Chris Paxton, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Dieter Fox:
Online Replanning in Belief Space for Partially Observable Task and Motion Problems. CoRR abs/1911.04577 (2019) - 2018
- [j29]Caelan Reed Garrett, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
FFRob: Leveraging symbolic planning for efficient task and motion planning. Int. J. Robotics Res. 37(1): 104-136 (2018) - [j28]Brian Axelrod, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Provably safe robot navigation with obstacle uncertainty. Int. J. Robotics Res. 37(13-14) (2018) - [j27]Caelan Reed Garrett, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Sampling-based methods for factored task and motion planning. Int. J. Robotics Res. 37(13-14) (2018) - [j26]George Dimitri Konidaris, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
From Skills to Symbols: Learning Symbolic Representations for Abstract High-Level Planning. J. Artif. Intell. Res. 61: 215-289 (2018) - [c83]Beomjoon Kim, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Guiding Search in Continuous State-Action Spaces by Learning an Action Sampler From Off-Target Search Experience. AAAI 2018: 6509-6516 - [c82]Clement Gehring, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Adaptable replanning with compressed linear action models for learning from demonstrations. CoRL 2018: 432-442 - [c81]Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Learning What Information to Give in Partially Observed Domains. CoRL 2018: 724-733 - [c80]Ferran Alet, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Modular meta-learning. CoRL 2018: 856-868 - [c79]Ariel S. Anders, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Reliably Arranging Objects in Uncertain Domains. ICRA 2018: 1603-1610 - [c78]Ferran Alet, Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Finding Frequent Entities in Continuous Data. IJCAI 2018: 1992-1999 - [c77]Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Integrating Human-Provided Information into Belief State Representation Using Dynamic Factorization. IROS 2018: 3551-3558 - [c76]Zi Wang, Caelan Reed Garrett, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Active Model Learning and Diverse Action Sampling for Task and Motion Planning. IROS 2018: 4107-4114 - [c75]