• 302 Citations
  • 10 h-Index
20072020
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Research Output 2007 2019

  • 302 Citations
  • 10 h-Index
  • 25 Conference contribution
  • 8 Article
  • 3 Conference article
  • 1 Paper
2019

Inferring 3D Shapes of Unknown Rigid Objects in Clutter Through Inverse Physics Reasoning

Song, C. & Boularias, A., Apr 1 2019, In : IEEE Robotics and Automation Letters. 4, 2, p. 201-208 8 p., 8567926.

Research output: Contribution to journalArticle

3D shape
Clutter
Physics
Reasoning
Unknown
2 Citations (Scopus)

Learning a State Transition Model of an Underactuated Adaptive Hand

Sintov, A., Morgan, A. S., Kimmel, A., Dollar, A. M., Bekris, K. & Boularias, A., Apr 1 2019, In : IEEE Robotics and Automation Letters. 4, 2, p. 1287-1294 8 p., 8624443.

Research output: Contribution to journalArticle

Transition Model
State Transition
End effectors
Feature Space
Gaussian Process

Learning object localization and 6d pose estimation from simulation and weakly labeled real images

Mercier, J. P., Mitash, C., Giguere, P. & Boularias, A., May 1 2019, 2019 International Conference on Robotics and Automation, ICRA 2019. Institute of Electrical and Electronics Engineers Inc., p. 3500-3506 7 p. 8794112. (Proceedings - IEEE International Conference on Robotics and Automation; vol. 2019-May).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Detectors
Robotics
Computer vision
Masks
Classifiers
Pose Estimation
Clutter
Labels
Robotics
Physics
1 Citation (Scopus)

Robust 6D object pose estimation with stochastic congruent sets

Mitash, C., Boularias, A. & Bekris, K. E., Jan 1 2019.

Research output: Contribution to conferencePaper

Semantics
Geometry
2 Citations (Scopus)

Towards robust product packing with a minimalistic end-effector

Shome, R., Tang, W. N., Song, C., Mitash, C., Kourtev, H., Yu, J., Boularias, A. & Bekris, K. E., May 2019, 2019 International Conference on Robotics and Automation, ICRA 2019. Institute of Electrical and Electronics Engineers Inc., p. 9007-9013 7 p. 8793966. (Proceedings - IEEE International Conference on Robotics and Automation; vol. 2019-May).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

End effectors
Pipelines
Robots
Hardware
Warehouses
2018
1 Citation (Scopus)

Efficient Model Identification for Tensegrity Locomotion

Zhu, S., Surovik, D., Bekris, K. & Boularias, A., Dec 27 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018. Institute of Electrical and Electronics Engineers Inc., p. 2985-2990 6 p. 8594425. (IEEE International Conference on Intelligent Robots and Systems).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Identification (control systems)
Robots
Robotics
Physics
Engines
2 Citations (Scopus)

Fast model identification via physics engines for data-efficient policy search

Zhu, S., Kimmel, A., Bekris, K. E. & Boularias, A., Jan 1 2018, Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018. Lang, J. (ed.). International Joint Conferences on Artificial Intelligence, p. 3249-3256 8 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2018-July).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Identification (control systems)
Physics
Engines
Trajectories
Robots
7 Citations (Scopus)

Improving 6D pose estimation of objects in clutter via physics-aware monte carlo tree search

Mitash, C., Boularias, A. & Bekris, K. E., Sep 10 2018, 2018 IEEE International Conference on Robotics and Automation, ICRA 2018. Institute of Electrical and Electronics Engineers Inc., p. 3331-3338 8 p. 8461163. (Proceedings - IEEE International Conference on Robotics and Automation).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Global optimization
Physics
Tuning
Object detection
2017
9 Citations (Scopus)

Anticipatory action selection for human–robot table tennis

Wang, Z., Boularias, A., Mülling, K., Schölkopf, B. & Peters, J., Jun 1 2017, In : Artificial Intelligence. 247, p. 399-414 16 p.

Research output: Contribution to journalArticle

robot
Robots
Dynamic models
interaction
uncertainty
16 Citations (Scopus)

A self-supervised learning system for object detection using physics simulation and multi-view pose estimation

Mitash, C., Bekris, K. & Boularias, A., Dec 13 2017, IROS 2017 - IEEE/RSJ International Conference on Intelligent Robots and Systems. Institute of Electrical and Electronics Engineers Inc., p. 545-551 7 p. 8202206. (IEEE International Conference on Intelligent Robots and Systems; vol. 2017-September).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Supervised learning
Learning systems
Physics
Robotics
Robotic arms
2016
2 Citations (Scopus)

Gradients weights improve regression and classification

Kpotufe, S., Boularias, A., Schultz, T. & Kim, K., Apr 1 2016, In : Journal of Machine Learning Research. 17

Research output: Contribution to journalArticle

Weighting
Regression
Feature Weighting
Gradient
Derivatives
5 Citations (Scopus)

Learning qualitative spatial relations for robotic navigation

Boularias, A., Duvallet, F., Oh, J. & Stentz, A., Jan 1 2016, In : IJCAI International Joint Conference on Artificial Intelligence. 2016-January, p. 4130-4134 5 p.

Research output: Contribution to journalConference article

Navigation
Robotics
Robots
Railroad cars
Hydrants
2015
15 Citations (Scopus)

Grounding spatial relations for outdoor robot navigation

Boularias, A., Duvallet, F., Oh, J. & Stentz, A., Jun 29 2015, In : Proceedings - IEEE International Conference on Robotics and Automation. 2015-June, June, p. 1976-1982 7 p., 7139457.

Research output: Contribution to journalConference article

Electric grounding
Navigation
Robots
Railroad cars
Hydrants
11 Citations (Scopus)

Learning to manipulate unknown objects in clutter by reinforcement

Boularias, A., Bagnell, J. A. & Stentz, A., Jun 1 2015, Proceedings of the 29th AAAI Conference on Artificial Intelligence, AAAI 2015 and the 27th Innovative Applications of Artificial Intelligence Conference, IAAI 2015. AI Access Foundation, p. 1336-1342 7 p. (Proceedings of the National Conference on Artificial Intelligence; vol. 2).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Reinforcement
Robots
Reinforcement learning
Robotics
Decision making
14 Citations (Scopus)

Toward mobile robots reasoning like humans

Oh, J., Suppé, A., Duvallet, F., Boularias, A., Navarro-Serment, L., Hebert, M., Stentz, A., Vinokurov, J., Romero, O., Lebiere, C. & Dean, R., Jun 1 2015, Proceedings of the 29th AAAI Conference on Artificial Intelligence, AAAI 2015 and the 27th Innovative Applications of Artificial Intelligence Conference, IAAI 2015. AI Access Foundation, p. 1371-1379 9 p. (Proceedings of the National Conference on Artificial Intelligence; vol. 2).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mobile robots
Robots
Labels
Robotics
Semantics
2014
27 Citations (Scopus)

Cost-sensitive active learning with lookahead: Optimizing field surveys for remote sensing data classification

Persello, C., Boularias, A., Dalponte, M., Gobakken, T., Naesset, E. & Scholkopf, B., Oct 2014, In : IEEE Transactions on Geoscience and Remote Sensing. 52, 10, p. 6652-6664 13 p., 6729084.

Research output: Contribution to journalArticle

field survey
Remote sensing
learning
remote sensing
cost
7 Citations (Scopus)

Efficient optimization for autonomous robotic manipulation of natural objects

Boularias, A., Bagnell, J. A. & Stentz, A., Jan 1 2014, Proceedings of the National Conference on Artificial Intelligence. AI Access Foundation, p. 2520-2526 7 p. (Proceedings of the National Conference on Artificial Intelligence; vol. 4).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Robotics
Rocks
Trajectories
Robots
Debris
22 Citations (Scopus)

Learning strategies in table tennis using inverse reinforcement learning

Muelling, K., Boularias, A., Mohler, B., Schölkopf, B. & Peters, J., Jan 1 2014, In : Biological Cybernetics. 108, 5, p. 603-619 17 p.

Research output: Contribution to journalArticle

Tennis
Reinforcement learning
Reward
Learning
Motor Skills
2013
3 Citations (Scopus)

Apprenticeship learning with few examples

Boularias, A. & Chaib-draa, B., Mar 15 2013, In : Neurocomputing. 104, p. 83-96 14 p.

Research output: Contribution to journalArticle

Learning
Demonstrations
Reinforcement learning
Learning algorithms
Navigation
2012

Algorithms for learning Markov field policies

Boularias, A., Krömer, O. & Peters, J., Dec 1 2012, Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012, NIPS 2012. p. 2177-2185 9 p. (Advances in Neural Information Processing Systems; vol. 3).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Reinforcement learning
Learning algorithms
Teaching
Robots
Sampling
2 Citations (Scopus)

Gradient weights help nonparametric regressors

Kpotufe, S. & Boularias, A., Dec 1 2012, Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012, NIPS 2012. p. 2861-2869 9 p. (Advances in Neural Information Processing Systems; vol. 4).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Derivatives
17 Citations (Scopus)

Hilbert space embeddings of pomdps

Nishiyama, Y., Boularias, A., Gretton, A. & Fukumizu, K., Dec 1 2012, Uncertainty in Artificial Intelligence - Proceedings of the 28th Conference, UAI 2012. p. 644-653 10 p. (Uncertainty in Artificial Intelligence - Proceedings of the 28th Conference, UAI 2012).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hilbert spaces
9 Citations (Scopus)

Structured apprenticeship learning

Boularias, A., Krömer, O. & Peters, J., Oct 4 2012, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2012, Proceedings. PART 2 ed. p. 227-242 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7524 LNAI, no. PART 2).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Teaching
Navigation
Robots
Reward
Random Field
2011
6 Citations (Scopus)

Balancing safety and exploitability in opponent modeling

Wang, Z., Boularias, A., Mülling, K. & Peters, J., Nov 2 2011, AAAI-11 / IAAI-11 - Proceedings of the 25th AAAI Conference on Artificial Intelligence and the 23rd Innovative Applications of Artificial Intelligence Conference. p. 1515-1520 6 p. (Proceedings of the National Conference on Artificial Intelligence; vol. 2).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Robots
Rocks
23 Citations (Scopus)

Learning robot grasping from 3-D images with Markov random fields

Boularias, A., Kroemer, O. & Peters, J., Dec 29 2011, IROS'11 - 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems: Celebrating 50 Years of Robotics. p. 1548-1553 6 p. 6048528. (IEEE International Conference on Intelligent Robots and Systems).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Robot learning
Robots

Modeling opponent actions for table-tennis playing robot

Wang, Z., Boularias, A., Mülling, K. & Peters, J., Nov 2 2011, AAAI-11 / IAAI-11 - Proceedings of the 25th AAAI Conference on Artificial Intelligence and the 23rd Innovative Applications of Artificial Intelligence Conference. p. 1828-1829 2 p. (Proceedings of the National Conference on Artificial Intelligence; vol. 2).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Robots
64 Citations (Scopus)

Relative entropy Inverse Reinforcement Learning

Boularias, A., Kober, J. & Peters, J., Dec 1 2011, In : Journal of Machine Learning Research. 15, p. 182-189 8 p.

Research output: Contribution to journalConference article

Relative Entropy
Reinforcement learning
Reinforcement Learning
Entropy
Markov Decision Process
2010
2 Citations (Scopus)

Apprenticeship learning via soft local homomorphisms

Boularias, A. & Chaib-draa, B., Aug 26 2010, 2010 IEEE International Conference on Robotics and Automation, ICRA 2010. p. 2971-2976 6 p. 5509717. (Proceedings - IEEE International Conference on Robotics and Automation).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Reinforcement learning
Demonstrations
Robots
Learning algorithms
Trajectories
4 Citations (Scopus)

Bootstrapping apprenticeship learning

Boularias, A. & Chaib-Draa, B., Dec 1 2010, Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, NIPS 2010. (Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, NIPS 2010).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Demonstrations
Reinforcement learning
Learning algorithms
Railroad cars
2009
2 Citations (Scopus)

Predictive representations for policy gradient in POMDPs

Boularias, A. & Chaib-Draa, B., Dec 9 2009, Proceedings of the 26th International Conference On Machine Learning, ICML 2009. p. 65-72 8 p. (Proceedings of the 26th International Conference On Machine Learning, ICML 2009).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Controllers
Gradient methods
Polynomials

Predictive representations for policy gradient in POMDPs

Boularias, A. & Chaib-draa, B., Sep 15 2009, Proceedings of the 26th Annual International Conference on Machine Learning, ICML'09. 9. (ACM International Conference Proceeding Series; vol. 382).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Controllers
Gradient methods
Polynomials
2008
1 Citation (Scopus)

A predictive model for imitation learning in partially observable environments

Boularias, A., Dec 1 2008, Proceedings - 7th International Conference on Machine Learning and Applications, ICMLA 2008. p. 83-90 8 p. 4724959. (Proceedings - 7th International Conference on Machine Learning and Applications, ICMLA 2008).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Robots
25 Citations (Scopus)

Exact Dynamic Programming for decentralized POMDPs with lossless policy compression

Boularias, A. & Chaib-Draa, B., Dec 1 2008, ICAPS 2008 - Proceedings of the 18th International Conference on Automated Planning and Scheduling. p. 20-27 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Dynamic programming
Probability distributions
Compaction
Planning
Compression

Prediction-directed compression of POMDPs

Boularias, A., Izadi, M. & Chaib-Draa, B., Dec 1 2008, Proceedings - 7th International Conference on Machine Learning and Applications, ICMLA 2008. p. 99-105 7 p. 4724961. (Proceedings - 7th International Conference on Machine Learning and Applications, ICMLA 2008).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

State space compression with predictive representations

Boularias, A., Izadi, M. & Chaib-draa, B., Nov 17 2008, Proceedings of the 21th International Florida Artificial Intelligence Research Society Conference, FLAIRS-21. p. 41-46 6 p. (Proceedings of the 21th International Florida Artificial Intelligence Research Society Conference, FLAIRS-21).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Planning
2007
1 Citation (Scopus)

Competition and coordination in stochastic games

Burkov, A., Boularias, A. & Chaib-Draa, B., Dec 24 2007, Advances in Artificial Intelligence - 20th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2007, Proceedings. p. 26-37 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4509 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Stochastic Games
Learning algorithms
Learning Algorithm
Q-learning
Ascent