Folgen
Beomjoon Kim
Titel
Zitiert von
Zitiert von
Jahr
Integrated task and motion planning
CR Garrett, R Chitnis, R Holladay, B Kim, T Silver, LP Kaelbling, ...
Annual review of control, robotics, and autonomous systems 4, 265-293, 2021
4282021
Socially adaptive path planning in human environments using inverse reinforcement learning
B Kim, J Pineau
International Journal of Social Robotics 8, 51-66, 2016
2672016
Learning from limited demonstrations
B Kim, A Farahmand, J Pineau, D Precup
Advances in Neural Information Processing Systems 26, 2013
1342013
Learning to guide task and motion planning using score-space representation
B Kim, Z Wang, LP Kaebling, T Lozano-Perez
The International Journal of Robotics Research 28 (7), 2019
1022019
Open x-embodiment: Robotic learning datasets and rt-x models
A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, A Irpan, A Khazatsky, ...
arXiv preprint arXiv:2310.08864, 2023
982023
Maximum Mean Discrepancy Imitation Learning
B Kim, J Pineau
Robotics: Science and Systems, 2013
572013
Learning value functions with relational state representations for guiding task-and-motion planning
B Kim, L Shimanuki
Conference on robot learning, 955-968, 2020
462020
Monte carlo tree search in continuous spaces using voronoi optimistic optimization with regret bounds
B Kim, K Lee, S Lim, L Kaelbling, T Lozano-Pérez
Proceedings of the AAAI Conference on Artificial Intelligence 34 (06), 9916-9924, 2020
452020
Regret bounds for meta bayesian optimization with an unknown gaussian process prior
Z Wang, B Kim, LP Kaelbling
Advances in Neural Information Processing Systems 31, 2018
412018
Guiding Search in Continuous State-action Spaces by Learning an Action Sampler from Off-target Search Experience
B Kim, LP Kaelbling, T Lozano-Pérez
AAAI Conference on Artificial Intelligence, 2018
402018
A long horizon planning framework for manipulating rigid pointcloud objects
A Simeonov, Y Du, B Kim, F Hogan, J Tenenbaum, P Agrawal, ...
Conference on Robot Learning, 1582-1601, 2021
362021
Camps: Learning context-specific abstractions for efficient planning in factored mdps
R Chitnis, T Silver, B Kim, L Kaelbling, T Lozano-Perez
Conference on robot learning, 64-79, 2021
292021
Representation, learning, and planning algorithms for geometric task and motion planning
B Kim, L Shimanuki, LP Kaelbling, T Lozano-Pérez
The International Journal of Robotics Research 41 (2), 210-231, 2022
282022
Adversarial actor-critic method for task and motion planning problems using planning experience
B Kim, LP Kaelbling, T Lozano-Pérez
Proceedings of the AAAI conference on artificial intelligence 33 (01), 8017-8024, 2019
232019
Open X-Embodiment: Robotic learning datasets and RT-X models
OXE Collaboration, A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, ...
CoRR, 2023
132023
Human-like navigation: Socially adaptive path planning in dynamic environments
B Kim, J Pineau
RSS 2013 workshop on inverse optimal control and robotic learning from …, 2013
132013
Open x-embodiment: Robotic learning datasets and RT-x models
Q Vuong, S Levine, HR Walke, K Pertsch, A Singh, R Doshi, C Xu, J Luo, ...
Towards Generalist Robots: Learning Paradigms for Scalable Skill Acquisition …, 2023
122023
Learning whole-body manipulation for quadrupedal robot
S Jeon, M Jung, S Choi, B Kim, J Hwangbo
IEEE Robotics and Automation Letters 9 (1), 699-706, 2023
82023
Generalizing over uncertain dynamics for online trajectory generation
B Kim, A Kim, H Dai, L Kaelbling, T Lozano-Perez
Robotics Research: Volume 2, 39-55, 2018
62018
Pre-and post-contact policy decomposition for non-prehensile manipulation with zero-shot sim-to-real transfer
M Kim, J Han, J Kim, B Kim
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023
52023
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20