![]() | ![]() |
| 2012 | ||
|---|---|---|
| 39 | Stephen Miller, Jur van den Berg, Mario Fritz, Trevor Darrell, Kenneth Y. Goldberg, Pieter Abbeel: A geometric approach to robotic laundry folding. I. J. Robotic Res. 31(2): 249-267 (2012) | |
| 2011 | ||
| 38 | Hugh F. Durrant-Whyte, Nicholas Roy, Pieter Abbeel: Robotics: Science and Systems VII, University of Southern California, Los Angeles, CA, USA, June 27-30, 2011 Robotics: Science and Systems 2011 | |
| 37 | Shervin Javdani, Sameep Tandon, Jie Tang, James F. O'Brien, Pieter Abbeel: Modeling and perception of deformable one-dimensional objects. ICRA 2011: 1607-1614 | |
| 36 | Marco Cusumano-Towner, Arjun Singh, Stephen Miller, James F. O'Brien, Pieter Abbeel: Bringing clothing into desired configurations with limited perception. ICRA 2011: 3893-3900 | |
| 35 | Stephen Miller, Mario Fritz, Trevor Darrell, Pieter Abbeel: Parametrized shape models for clothing. ICRA 2011: 4861-4868 | |
| 34 | Leonard Jaillet, Judy Hoffman, Jur van den Berg, Pieter Abbeel, Josep M. Porta, Kenneth Y. Goldberg: EG-RRT: Environment-guided random trees for kinodynamic motion planning with uncertainty and obstacles. IROS 2011: 2646-2652 | |
| 33 | Ping Chuan Wang, Stephen Miller, Mario Fritz, Trevor Darrell, Pieter Abbeel: Perception for the manipulation of socks. IROS 2011: 4877-4884 | |
| 32 | Timothy Hunter, Ryan Herring, Pieter Abbeel, Alexandre M. Bayen: The path inference filter: model-based low-latency map matching of probe vehicle data CoRR abs/1109.1966: (2011) | |
| 31 | Jur van den Berg, Pieter Abbeel, Kenneth Y. Goldberg: LQG-MP: Optimized path planning for robots with motion uncertainty and imperfect state information. I. J. Robotic Res. 30(7): 895-913 (2011) | |
| 2010 | ||
| 30 | Jie Tang, Arjun Singh, Nimbus Goehausen, Pieter Abbeel: Parameterized maneuver learning for autonomous helicopter flight. ICRA 2010: 1142-1148 | |
| 29 | Jur van den Berg, Stephen Miller, Daniel Duckworth, Humphrey Hu, Andrew Wan, Xiao-Yu Fu, Kenneth Y. Goldberg, Pieter Abbeel: Superhuman performance of surgical tasks by robots using iterative learning from human-guided demonstrations. ICRA 2010: 2074-2081 | |
| 28 | Jeremy Maitin-Shepard, Marco Cusumano-Towner, Jinna Lei, Pieter Abbeel: Cloth grasp point detection based on multiple-view geometric cues with application to robotic towel folding. ICRA 2010: 2308-2315 | |
| 27 | Pål Johan From, Jan Tommy Gravdahl, Pieter Abbeel: On the influence of ship motion prediction accuracy on motion planning and control of robotic manipulators on seaborne platforms. ICRA 2010: 5281-5288 | |
| 26 | Jie Tang, Pieter Abbeel: On a Connection between Importance Sampling and the Likelihood Ratio Policy Gradient. NIPS 2010: 1000-1008 | |
| 25 | Jur van den Berg, Pieter Abbeel, Kenneth Y. Goldberg: LQG-MP: Optimized Path Planning for Robots with Motion Uncertainty and Imperfect State Information. Robotics: Science and Systems 2010 | |
| 24 | Jur van den Berg, Sachin Patil, Ron Alterovitz, Pieter Abbeel, Kenneth Y. Goldberg: LQG-Based Planning, Sensing, and Control of Steerable Needles. WAFR 2010: 373-389 | |
| 23 | Jur van den Berg, Stephen Miller, Kenneth Y. Goldberg, Pieter Abbeel: Gravity-Based Robotic Cloth Folding. WAFR 2010: 409-424 | |
| 22 | Adam Coates, Pieter Abbeel, Andrew Y. Ng: Autonomous Helicopter Flight Using Reinforcement Learning. Encyclopedia of Machine Learning 2010: 53-61 | |
| 21 | Pieter Abbeel, Andrew Y. Ng: Inverse Reinforcement Learning. Encyclopedia of Machine Learning 2010: 554-558 | |
| 20 | Pieter Abbeel, Adam Coates, Andrew Y. Ng: Autonomous Helicopter Aerobatics through Apprenticeship Learning. I. J. Robotic Res. 29(13): 1608-1639 (2010) | |
| 2009 | ||
| 19 | Adam Coates, Pieter Abbeel, Andrew Y. Ng: Apprenticeship learning for helicopter control. Commun. ACM 52(7): 97-105 (2009) | |
| 2008 | ||
| 18 | Adam Coates, Pieter Abbeel, Andrew Y. Ng: Learning for control from multiple demonstrations. ICML 2008: 144-151 | |
| 17 | Pieter Abbeel, Dmitri Dolgov, Andrew Y. Ng, Sebastian Thrun: Apprenticeship learning for motion planning with application to parking lot navigation. IROS 2008: 1083-1090 | |
| 16 | Pieter Abbeel, Adam Coates, Timothy Hunter, Andrew Y. Ng: Autonomous Autorotation of an RC Helicopter. ISER 2008: 385-394 | |
| 15 | Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbeel, Daphne Koller: Max-margin Classification of Data with Absent Features. Journal of Machine Learning Research 9: 1-21 (2008) | |
| 2007 | ||
| 14 | J. Zico Kolter, Pieter Abbeel, Andrew Y. Ng: Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion. NIPS 2007 | |
| 2006 | ||
| 13 | Su-In Lee, Honglak Lee, Pieter Abbeel, Andrew Y. Ng: Efficient L1 Regularized Logistic Regression. AAAI 2006: 401-408 | |
| 12 | Pieter Abbeel, Morgan Quigley, Andrew Y. Ng: Using inaccurate models in reinforcement learning. ICML 2006: 1-8 | |
| 11 | Pieter Abbeel, Adam Coates, Morgan Quigley, Andrew Y. Ng: An Application of Reinforcement Learning to Aerobatic Helicopter Flight. NIPS 2006: 1-8 | |
| 10 | Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbeel, Daphne Koller: Max-margin classification of incomplete data. NIPS 2006: 233-240 | |
| 9 | Pieter Abbeel, Daphne Koller, Andrew Y. Ng: Learning Factor Graphs in Polynomial Time and Sample Complexity. Journal of Machine Learning Research 7: 1743-1788 (2006) | |
| 2005 | ||
| 8 | Pieter Abbeel, Andrew Y. Ng: Exploration and apprenticeship learning in reinforcement learning. ICML 2005: 1-8 | |
| 7 | Pieter Abbeel, Varun Ganapathi, Andrew Y. Ng: Learning vehicular dynamics, with application to modeling helicopters. NIPS 2005 | |
| 6 | Pieter Abbeel, Adam Coates, Michael Montemerlo, Andrew Y. Ng, Sebastian Thrun: Discriminative Training of Kalman Filters. Robotics: Science and Systems 2005: 289-296 | |
| 5 | Pieter Abbeel, Daphne Koller, Andrew Y. Ng: Learning Factor Graphs in Polynomial Time & Sample Complexity. UAI 2005: 1-9 | |
| 2004 | ||
| 4 | Pieter Abbeel, Andrew Y. Ng: Apprenticeship learning via inverse reinforcement learning. ICML 2004 | |
| 3 | Pieter Abbeel, Andrew Y. Ng: Learning first-order Markov models for control. NIPS 2004 | |
| 2003 | ||
| 2 | Benjamin Taskar, Ming Fai Wong, Pieter Abbeel, Daphne Koller: Link Prediction in Relational Data. NIPS 2003 | |
| 2002 | ||
| 1 | Benjamin Taskar, Pieter Abbeel, Daphne Koller: Discriminative Probabilistic Models for Relational Data. UAI 2002: 485-492 | |
Colors in the list of coauthors
Last update Sat May 26 04:23:17 2012 CET by the DBLP Team —
Data released under the ODC-BY 1.0 license — See also our legal information page