Tomás Lozano-Pérez

Orcid: 0000-0002-8657-2450

Affiliations:
  • Massachusetts Institute of Technology, Cambridge, USA


According to our database1, Tomás Lozano-Pérez authored at least 183 papers between 1974 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Awards

ACM Fellow

ACM Fellow 2017, "For contributions to robotics, and motion planning, geometric algorithms, and their applications".

IEEE Fellow

IEEE Fellow 2012, "For contributions to robot motion planning".

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Robust planning for multi-stage forceful manipulation.
Int. J. Robotics Res., March, 2024

SceneComplete: Open-World 3D Scene Completion in Complex Real World Environments for Robot Manipulation.
CoRR, 2024

Keypoint Abstraction using Large Models for Object-Relative Imitation Learning.
CoRR, 2024

Combining Planning and Diffusion for Mobility with Unknown Dynamics.
CoRR, 2024

Guiding Long-Horizon Task and Motion Planning with Vision Language Models.
CoRR, 2024

Learning to Bridge the Gap: Efficient Novelty Recovery with Planning and Reinforcement Learning.
CoRR, 2024

Bi-Level Belief Space Search for Compliant Part Mating Under Uncertainty.
CoRR, 2024

Embodied Uncertainty-Aware Object Segmentation.
CoRR, 2024

Towards Practical Finite Sample Bounds for Motion Planning in TAMP.
CoRR, 2024

Trust the PRoC3S: Solving Long-Horizon Robotics Problems with LLMs and Constraint Satisfaction.
CoRR, 2024

"Set It Up!": Functional Object Arrangement with Compositional Generative Models.
CoRR, 2024

Partially Observable Task and Motion Planning with Uncertainty and Risk Awareness.
CoRR, 2024

Practice Makes Perfect: Planning to Learn Skill Parameter Policies.
CoRR, 2024

2023
Embodied Lifelong Learning for Task and Motion Planning.
CoRR, 2023

DiMSam: Diffusion Models as Samplers for Task and Motion Planning under Partial Observability.
CoRR, 2023

PDSketch: Integrated Planning Domain Programming and Learning.
CoRR, 2023

Sequence-Based Plan Feasibility Prediction for Efficient Task and Motion Planning.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

What Planning Problems Can A Relational Neural Network Solve?
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Visibility-Aware Navigation Among Movable Obstacles.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Local Neural Descriptor Fields: Locally Conditioned Object Representations for Manipulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Compositional Diffusion-Based Continuous Constraint Solvers.
Proceedings of the Conference on Robot Learning, 2023

Embodied Lifelong Learning for Task and Motion Planning.
Proceedings of the Conference on Robot Learning, 2023

Learning Reusable Manipulation Strategies.
Proceedings of the Conference on Robot Learning, 2023

Learning Efficient Abstract Planning Models that Choose What to Predict.
Proceedings of the Conference on Robot Learning, 2023

Predicate Invention for Bilevel Planning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Learning Rational Subgoals from Demonstrations and Instructions.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Representation, learning, and planning algorithms for geometric task and motion planning.
Int. J. Robotics Res., 2022

SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields.
CoRR, 2022

Learning Operators with Ignore Effects for Bilevel Planning in Continuous Domains.
CoRR, 2022

Inventing Relational State and Action Abstractions for Effective and Efficient Bilevel Planning.
CoRR, 2022

PDSketch: Integrated Domain Programming, Learning, and Planning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Object-Based State Estimators for Household Robots.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Learning Neuro-Symbolic Relational Transition Models for Bilevel Planning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

PG3: Policy-Guided Planning for Generalized Policy Generation.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Fully Persistent Spatial Data Structures for Efficient Queries in Path-Dependent Motion Planning Applications.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Long-Horizon Manipulation of Unknown Objects via Task and Motion Planning with Estimated Affordances.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields.
Proceedings of the Conference on Robot Learning, 2022

Learning Neuro-Symbolic Skills for Bilevel Planning.
Proceedings of the Conference on Robot Learning, 2022

Discovering State and Action Abstractions for Generalized Task and Motion Planning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Learning compositional models of robot skills for task and motion planning.
Int. J. Robotics Res., 2021

Specifying and achieving goals in open uncertain robot-manipulation domains.
CoRR, 2021

From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence.
CoRR, 2021

Integrated Task and Motion Planning.
Annu. Rev. Control. Robotics Auton. Syst., 2021

Active Learning of Abstract Plan Feasibility.
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning When to Quit: Meta-Reasoning for Motion Planning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Learning Symbolic Operators for Task and Motion Planning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Shape-Based Transfer of Generic Skills.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Planning for Multi-stage Forceful Manipulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

A large-scale benchmark for few-shot program induction and synthesis.
Proceedings of the 38th International Conference on Machine Learning, 2021

Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Learning Online Data Association.
CoRR, 2020

Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time.
CoRR, 2020

GLIB: Exploration via Goal-Literal Babbling for Lifted Operator Learning.
CoRR, 2020

Scalable and Probabilistically Complete Planning for Robotic Spatial Extrusion.
Proceedings of the Robotics: Science and Systems XVI, 2020

Visual Prediction of Priors for Articulated Object Interaction.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Online Replanning in Belief Space for Partially Observable Task and Motion Problems.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Meta-learning curiosity algorithms.
Proceedings of the 8th International Conference on Learning Representations, 2020

CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs.
Proceedings of the 4th Conference on Robot Learning, 2020

PDDLStream: Integrating Symbolic Planners and Blackbox Samplers via Optimistic Adaptive Planning.
Proceedings of the Thirtieth International Conference on Automated Planning and Scheduling, 2020

Monte Carlo Tree Search in Continuous Spaces Using Voronoi Optimistic Optimization with Regret Bounds.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Learning to guide task and motion planning using score-space representation.
Int. J. Robotics Res., 2019

Differentiable Algorithm Networks for Composable Robot Learning.
Proceedings of the Robotics: Science and Systems XV, 2019

Neural Relational Inference with Fast Modular Meta-learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Force-and-Motion Constrained Planning for Tool Use.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGB-D video.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Learning Quickly to Plan Quickly Using Modular Meta-Learning.
Proceedings of the International Conference on Robotics and Automation, 2019

Graph Element Networks: adaptive, structured computation and memory.
Proceedings of the 36th International Conference on Machine Learning, 2019

Learning Compact Models for Planning with Exogenous Processes.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Adversarial Actor-Critic Method for Task and Motion Planning Problems Using Planning Experience.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
From Skills to Symbols: Learning Symbolic Representations for Abstract High-Level Planning.
J. Artif. Intell. Res., 2018

Sampling-based methods for factored task and motion planning.
Int. J. Robotics Res., 2018

FFRob: Leveraging symbolic planning for efficient task and motion planning.
Int. J. Robotics Res., 2018

Provably safe robot navigation with obstacle uncertainty.
Int. J. Robotics Res., 2018

Modular meta-learning in abstract graph networks for combinatorial generalization.
CoRR, 2018

Planning to Give Information in Partially Observed Domains with a Learned Weighted Entropy Model.
CoRR, 2018

STRIPStream: Integrating Symbolic Planners and Blackbox Samplers.
CoRR, 2018

Look Before You Sweep: Visibility-Aware Motion Planning.
Proceedings of the Algorithmic Foundations of Robotics XIII, 2018

Active Model Learning and Diverse Action Sampling for Task and Motion Planning.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Integrating Human-Provided Information into Belief State Representation Using Dynamic Factorization.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Finding Frequent Entities in Continuous Data.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Reliably Arranging Objects in Uncertain Domains.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Adaptable replanning with compressed linear action models for learning from demonstrations.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

Learning What Information to Give in Partially Observed Domains.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

Modular meta-learning.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

Guiding Search in Continuous State-Action Spaces by Learning an Action Sampler From Off-Target Search Experience.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Guiding the search in continuous state-action spaces by learning an action sampling distribution from off-target samples.
CoRR, 2017

STRIPS Planning in Infinite Domains.
CoRR, 2017

Sample-Based Methods for Factored Task and Motion Planning.
Proceedings of the Robotics: Science and Systems XIII, 2017

Focused model-learning and planning for non-Gaussian continuous state-action systems.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Learning to guide task and motion planning using score-space representation.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Learning composable models of parameterized skills.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016
Decidability of Semi-Holonomic Prehensile Task and Motion Planning.
Proceedings of the Algorithmic Foundations of Robotics XII, 2016

Object-Based World Modeling in Semi-Static Environments with Dependent Dirichlet Process Mixtures.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Learning to Rank for Synthesizing Planning Heuristics.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Implicit belief-space pre-images for hierarchical planning and execution.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015
Data association for semantic world modeling from partial views.
Int. J. Robotics Res., 2015

Bayesian Optimization with Exponential Convergence.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Generalizing Over Uncertain Dynamics for Online Trajectory Generation.
Proceedings of the Robotics Research, 2015

Hierarchical planning for multi-contact non-prehensile manipulation.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Backward-forward search for manipulation planning.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Symbol Acquisition for Probabilistic High-Level Planning.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2014
Special Issue on the Tenth International Workshop on Algorithmic Foundations of Robotics (WAFR).
Int. J. Robotics Res., 2014

FFRob: An Efficient Heuristic for Task and Motion Planning.
Proceedings of the Algorithmic Foundations of Robotics XI, 2014

A constraint-based method for solving sequential manipulation planning problems.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Not seeing is also believing: Combining object and metric spatial information.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Interactive Bayesian identification of kinematic mechanisms.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Constructing Symbolic Representations for High-Level Planning.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Integrated task and motion planning in belief space.
Int. J. Robotics Res., 2013

Foresight and reconsideration in hierarchical planning and execution.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

Manipulation-based active search for occluded objects.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Object placement as inverse motion planning.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Optimization in the now: Dynamic peephole optimization for hierarchical planning.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

A hierarchical approach to manipulation with diverse actions.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Symbol Acquisition for Task-Level Planning.
Proceedings of the Learning Rich Representations from Low-Level Sensors, 2013

2012
Manipulation with Multiple Action Types.
Proceedings of the Experimental Robotics, 2012

Collision-free state estimation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012

Non-Gaussian belief space planning: Correctness and complexity.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012

LQR-RRT*: Optimal sampling-based motion planning with automatically derived extension heuristics.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012

Unifying perception, estimation and action for mobile manipulation via belief space planning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012

POMCoP: Belief Space Planning for Sidekicks in Cooperative Games.
Proceedings of the Eighth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2012

2011
Robust grasping under object pose uncertainty.
Auton. Robots, 2011

Efficient Planning in Non-Gaussian Belief Spaces and Its Application to Robot Grasping.
Proceedings of the Robotics Research, 2011

Pre-image Backchaining in Belief Space for Mobile Manipulation.
Proceedings of the Robotics Research, 2011

DetH*: Approximate Hierarchical Solution of Large Markov Decision Processes.
Proceedings of the IJCAI 2011, 2011

Hierarchical task and motion planning in the now.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

CAPIR: Collaborative Action Planning with Intention Recognition.
Proceedings of the Seventh AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2011

2010
Planning in partially-observable switching-mode continuous domains.
Ann. Math. Artif. Intell., 2010

Belief space planning assuming maximum likelihood observations.
Proceedings of the Robotics: Science and Systems VI, 2010

Task-Driven Tactile Exploration.
Proceedings of the Robotics: Science and Systems VI, 2010

Class-specific grasping of 3D objects from a single 2D image.
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Hierarchical Planning in the Now.
Proceedings of the Bridging the Gap Between Task and Motion Planning, 2010

2009
Rotamer optimization for protein design through MAP estimation and problem-size reduction.
J. Comput. Chem., 2009

Learning to generate novel views of objects for class recognition.
Comput. Vis. Image Underst., 2009

2008
Continuous-State POMDPs with Hybrid Dynamics.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2008

Learning Grammatical Models for Object Recognition.
Proceedings of the Logic and Probability for Scene Interpretation, 24.02. - 29.02.2008, 2008

2007
Predicting Partial Paths from Planning Problem Parameters.
Proceedings of the Robotics: Science and Systems III, 2007

Grasping POMDPs.
Proceedings of the 2007 IEEE International Conference on Robotics and Automation, 2007

Virtual Training for Multi-View Object Class Recognition.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Protein Side-Chain Placement Through MAP Estimation and Problem-Size Reduction.
Proceedings of the Algorithms in Bioinformatics, 6th International Workshop, 2006

Imitation Learning of Whole-Body Grasps.
Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006

Matching Interest Points Using Affine Invariant Concentric Circles.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

2000
Image Database Retrieval with Multiple-Instance Learning Techniques.
Proceedings of the 16th International Conference on Data Engineering, San Diego, California, USA, February 28, 2000

1999
A Framework for Learning Query Concepts in Image Classification.
Proceedings of the 1999 Conference on Computer Vision and Pattern Recognition (CVPR '99), 1999

1997
Solving the Multiple Instance Problem with Axis-Parallel Rectangles.
Artif. Intell., 1997

A Framework for Multiple-Instance Learning.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997

1996
An automatic registration method for frameless stereotaxy, image guided surgery, and enhanced reality visualization.
IEEE Trans. Medical Imaging, 1996

1995
Two-Handed Assembly Sequencing.
Int. J. Robotics Res., 1995

Evaluating and Validating an Automated Registration System for Enhanced Reality Visualization in Surgery.
Proceedings of the Computer Vision, 1995

1994
Compass: A shape-based machine learning tool for drug design.
J. Comput. Aided Mol. Des., 1994

Image guidance techniques for neurosurgery.
Proceedings of the Visualization in Biomedical Computing 1994, 1994

1993
A Comparison of Dynamic Reposing and Tangent Distance for Drug Activity Prediction.
Proceedings of the Advances in Neural Information Processing Systems 6, 1993

Assembly Sequencing for Arbitrary Motions.
Proceedings of the 1993 IEEE International Conference on Robotics and Automation, 1993

An automatic tube inspection system that finds cylinders in range data.
Proceedings of the Conference on Computer Vision and Pattern Recognition, 1993

1991
Parallel robot motion planning.
Proceedings of the 1991 IEEE International Conference on Robotics and Automation, 1991

1990
Extending the constraint propagation of intervals.
Artif. Intell. Eng. Des. Anal. Manuf., 1990

Grasp stability and feasibility for an arm with an articulated hand.
Proceedings of the 1990 IEEE International Conference on Robotics and Automation, 1990

Planning two-fingered grasps for pick-and-place operations on polyhedra.
Proceedings of the 1990 IEEE International Conference on Robotics and Automation, 1990

Spatial Planning: A Configuration Space Approach.
Proceedings of the Autonomous Robot Vehicles, 1990

1989
Task-Level Planning of Pick-and-Place Robot Motions.
Computer, 1989

Deadlock-free and collision-free coordination of two robot manipulators.
Proceedings of the 1989 IEEE International Conference on Robotics and Automation, 1989

Assembly strategies for chamferless parts.
Proceedings of the 1989 IEEE International Conference on Robotics and Automation, 1989

1987
A simple motion-planning algorithm for general robot manipulators.
IEEE J. Robotics Autom., 1987

Localizing Overlapping Parts by Searching the Interpretation Tree.
IEEE Trans. Pattern Anal. Mach. Intell., 1987

On Multiple Moving Objects.
Algorithmica, 1987

Regrasping.
Proceedings of the 1987 IEEE International Conference on Robotics and Automation, Raleigh, North Carolina, USA, March 31, 1987

Handey: A robot system that recognizes, plans, and manipulates.
Proceedings of the 1987 IEEE International Conference on Robotics and Automation, Raleigh, North Carolina, USA, March 31, 1987

Finding cylinders in range data.
Proceedings of the 1987 IEEE International Conference on Robotics and Automation, Raleigh, North Carolina, USA, March 31, 1987

1986
Off-Line Planning for On-Line Object Localization.
Proceedings of the Fall Joint Computer Conference, November 2-6, 1986, Dallas, Texas, USA, 1986

An approach to automatic robot programming.
Proceedings of the 14th ACM Annual Conference on Computer Science, 1986

1985
A subdivision algorithm in configuration space for findpath with rotation.
IEEE Trans. Syst. Man Cybern., 1985

Compliance in Robot Manipulation.
Artif. Intell., 1985

Recognition and localization of overlapping parts from sparse data in two and three dimensions.
Proceedings of the 1985 IEEE International Conference on Robotics and Automation, 1985

1984
Tactile Recognition and Localization Using Object Models: The Case of Polyhedra on a Plane.
IEEE Trans. Pattern Anal. Mach. Intell., 1984

Model-based recognition and localization from tactile data.
Proceedings of the 1984 IEEE International Conference on Robotics and Automation, 1984

1983
Spatial Planning: A Configuration Space Approach.
IEEE Trans. Computers, 1983

1982
Robotics.
Artif. Intell., 1982

1981
Automatic Planning of Manipulator Transfer Movements.
IEEE Trans. Syst. Man Cybern., 1981

1980
A Geometric Modeling System for Automated Mechanical Assembly.
IBM J. Res. Dev., 1980

1979
An Algorithm for Planning Collision-Free Paths Among Polyhedral Obstacles.
Commun. ACM, 1979

1977
LAMA: A Language for Automatic Mechanical Assembly.
Proceedings of the 5th International Joint Conference on Artificial Intelligence. Cambridge, 1977

1974
Attribute Based File Organization in a Paged Memory Environment.
Commun. ACM, 1974


  Loading...