Pieter Abbeel
Affiliations: | Electrical Engineering and Computer Science | University of California, Berkeley, Berkeley, CA, United States |
Area:
Artificial Intelligence (AI); Control, Intelligent Systems, and Robotics (CIR); Machine LearningGoogle:
"Pieter Abbeel"Cross-listing: Robotree
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Publications
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Peng XB, Kanazawa A, Malik J, et al. (2019) SFV Acm Transactions On Graphics. 37: 1-14 |
Sünderhauf N, Brock O, Scheirer W, et al. (2018) The limits and potentials of deep learning for robotics The International Journal of Robotics Research. 37: 405-420 |
Huang SH, Held D, Abbeel P, et al. (2018) Enabling robots to communicate their objectives Autonomous Robots. 43: 309-326 |
Krishnan S, Garg A, Patil S, et al. (2017) Transition state clustering The International Journal of Robotics Research. 36: 1595-1618 |
Calli B, Singh A, Bruce J, et al. (2017) Yale-CMU-Berkeley dataset for robotic manipulation research The International Journal of Robotics Research. 36: 261-268 |
Krishnan S, Garg A, Patil S, et al. (2017) Transition state clustering: Unsupervised surgical trajectory segmentation for robot learning The International Journal of Robotics Research. 36: 1595-1618 |
Finn C, Tan XY, Duan Y, et al. (2016) Deep spatial autoencoders for visuomotor learning Proceedings - Ieee International Conference On Robotics and Automation. 2016: 512-519 |
Xie C, Patil S, Moldovan T, et al. (2016) Model-based reinforcement learning with parametrized physical models and optimism-driven exploration Proceedings - Ieee International Conference On Robotics and Automation. 2016: 504-511 |
Mordatch I, Mishra N, Eppner C, et al. (2016) Combining model-based policy search with online model learning for control of physical humanoids Proceedings - Ieee International Conference On Robotics and Automation. 2016: 242-248 |
Kehoe B, Patil S, Abbeel P, et al. (2015) A Survey of Research on Cloud Robotics and Automation Ieee Transactions On Automation Science and Engineering. 12: 398-409 |