Abdeslam Boularias

Orcid: 0000-0002-5587-4560

According to our database1, Abdeslam Boularias authored at least 85 papers between 2007 and 2024.

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Bibliography

2024
Autoregressive Action Sequence Learning for Robotic Manipulation.
CoRR, 2024

DAP: Diffusion-based Affordance Prediction for Multi-modality Storage.
CoRR, 2024

Bellman Diffusion Models.
CoRR, 2024

Scaling Manipulation Learning with Visual Kinematic Chain Prediction.
CoRR, 2024

A3VLM: Actionable Articulation-Aware Vision Language Model.
CoRR, 2024

One-Shot Imitation Learning with Invariance Matching for Robotic Manipulation.
CoRR, 2024

Provably Efficient Long-Horizon Exploration in Monte Carlo Tree Search through State Occupancy Regularization.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
LGMCTS: Language-Guided Monte-Carlo Tree Search for Executable Semantic Object Rearrangement.
CoRR, 2023

Detect Every Thing with Few Examples.
CoRR, 2023

Optical Flow Boosts Unsupervised Localization and Segmentation.
IROS, 2023

Self-Supervised Learning of Object Segmentation from Unlabeled RGB-D Videos.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Learning Category-Level Manipulation Tasks from Point Clouds with Dynamic Graph CNNs.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Mono-STAR: Mono-Camera Scene-Level Tracking and Reconstruction.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

OVIR-3D: Open-Vocabulary 3D Instance Retrieval Without Training on 3D Data.
Proceedings of the Conference on Robot Learning, 2023

Context-Aware Entity Grounding with Open-Vocabulary 3D Scene Graphs.
Proceedings of the Conference on Robot Learning, 2023

2022
Visual Foresight Trees for Object Retrieval From Clutter With Nonprehensile Rearrangement.
IEEE Robotics Autom. Lett., 2022

Physics-based scene-level reasoning for object pose estimation in clutter.
Int. J. Robotics Res., 2022

Self-Supervised Monte Carlo Tree Search Learning for Object Retrieval in Clutter.
CoRR, 2022

Parallel Monte Carlo Tree Search with Batched Rigid-body Simulations for Speeding up Long-Horizon Episodic Robot Planning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Scene-level Tracking and Reconstruction without Object Priors.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Learning-Guided Exploration for Efficient Sampling-Based Motion Planning in High Dimensions.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Learning Sensorimotor Primitives of Sequential Manipulation Tasks from Visual Demonstrations.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Interleaving Monte Carlo Tree Search and Self-Supervised Learning for Object Retrieval in Clutter.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Model Identification and Control of a Low-cost Mobile Robot with Omnidirectional Wheels using Differentiable Physics.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

USHER: Unbiased Sampling for Hindsight Experience Replay.
Proceedings of the Conference on Robot Learning, 2022

2021
Visual Foresight Tree for Object Retrieval from Clutter with Nonprehensile Rearrangement.
CoRR, 2021

Vision-driven Compliant Manipulation for Reliable; High-Precision Assembly Tasks.
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Self-Supervised Learning of Long-Horizon Manipulation Tasks with Finite-State Task Machines.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Inferring Time-delayed Causal Relations in POMDPs from the Principle of Independence of Cause and Mechanism.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

A Self-supervised Learning System for Object Detection in Videos Using Random Walks on Graphs.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

DIPN: Deep Interaction Prediction Network with Application to Clutter Removal.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Toward Fully Automated Metal Recycling using Computer Vision and Non-Prehensile Manipulation.
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

2020
Task-Driven Perception and Manipulation for Constrained Placement of Unknown Objects.
IEEE Robotics Autom. Lett., 2020

Model Identification and Control of a Low-Cost Wheeled Mobile Robot Using Differentiable Physics.
CoRR, 2020

Identifying Mechanical Models through Differentiable Simulations.
CoRR, 2020

Learning to Slide Unknown Objects with Differentiable Physics Simulations.
Proceedings of the Robotics: Science and Systems XVI, 2020

Identifying Mechanical Models of Unknown Objects with Differentiable Physics Simulations.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Tools for Data-driven Modeling of Within-Hand Manipulation with Underactuated Adaptive Hands.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

A Probabilistic Model for Planar Sliding of Objects with Unknown Material Properties: Identification and Robust Planning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Learning Transition Models with Time-delayed Causal Relations.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Motion Planning with Competency-Aware Transition Models for Underactuated Adaptive Hands.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Learning to Transfer Dynamic Models of Underactuated Soft Robotic Hands.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
Inferring 3D Shapes of Unknown Rigid Objects in Clutter Through Inverse Physics Reasoning.
IEEE Robotics Autom. Lett., 2019

Learning a State Transition Model of an Underactuated Adaptive Hand.
IEEE Robotics Autom. Lett., 2019

Belief-Space Planning Using Learned Models with Application to Underactuated Hands.
Proceedings of the Robotics Research, 2019

Object Rearrangement with Nested Nonprehensile Manipulation Actions.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Towards Robust Product Packing with a Minimalistic End-Effector.
Proceedings of the International Conference on Robotics and Automation, 2019

Learning Object Localization and 6D Pose Estimation from Simulation and Weakly Labeled Real Images.
Proceedings of the International Conference on Robotics and Automation, 2019

Scene-level Pose Estimation for Multiple Instances of Densely Packed Objects.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018
Task-Relevant Object Discovery and Categorization for Playing First-person Shooter Games.
CoRR, 2018

Efficient Model Identification for Tensegrity Locomotion.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Fast Model Identification via Physics Engines for Data-Efficient Policy Search.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Improving 6D Pose Estimation of Objects in Clutter Via Physics-Aware Monte Carlo Tree Search.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Robust 6D Object Pose Estimation with Stochastic Congruent Sets.
Proceedings of the British Machine Vision Conference 2018, 2018

Information-Efficient Model Identification for Tensegrity Robot Locomotion.
Proceedings of the 2018 AAAI Spring Symposia, 2018

2017
Model Identification via Physics Engines for Improved Policy Search.
CoRR, 2017

Information-theoretic Model Identification and Policy Search using Physics Engines with Application to Robotic Manipulation.
CoRR, 2017

Anticipatory action selection for human-robot table tennis.
Artif. Intell., 2017

A self-supervised learning system for object detection using physics simulation and multi-view pose estimation.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

2016
Gradients Weights improve Regression and Classification.
J. Mach. Learn. Res., 2016


Learning Qualitative Spatial Relations for Robotic Navigation.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015
Grounding spatial relations for outdoor robot navigation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Toward Mobile Robots Reasoning Like Humans.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Learning to Manipulate Unknown Objects in Clutter by Reinforcement.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Cost-Sensitive Active Learning With Lookahead: Optimizing Field Surveys for Remote Sensing Data Classification.
IEEE Trans. Geosci. Remote. Sens., 2014

Learning strategies in table tennis using inverse reinforcement learning.
Biol. Cybern., 2014

Efficient Optimization for Autonomous Robotic Manipulation of Natural Objects.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Apprenticeship learning with few examples.
Neurocomputing, 2013

2012
Hilbert Space Embeddings of POMDPs.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Structured Apprenticeship Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Gradient Weights help Nonparametric Regressors.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Algorithms for Learning Markov Field Policies.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011
Relative Entropy Inverse Reinforcement Learning.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Learning robot grasping from 3-D images with Markov Random Fields.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Modeling Opponent Actions for Table-Tennis Playing Robot.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Balancing Safety and Exploitability in Opponent Modeling.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Bootstrapping Apprenticeship Learning.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Apprenticeship learning via soft local homomorphisms.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

2009
Predictive representations for policy gradient in POMDPs.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008
Prediction-Directed Compression of POMDPs.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

A Predictive Model for Imitation Learning in Partially Observable Environments.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

State Space Compression with Predictive Representations.
Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008

Exact Dynamic Programming for Decentralized POMDPs with Lossless Policy Compression.
Proceedings of the Eighteenth International Conference on Automated Planning and Scheduling, 2008

2007
Competition and Coordination in Stochastic Games.
Proceedings of the Advances in Artificial Intelligence, 2007


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