Stefan Schaal - RankMe

319 papers A* 69A 43B 3C 3Misc 2Journal 138Unranked 54

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Efficient Online Learning of Contact Force Models for Connector Insertion. ICRA Kevin Tracy, Zachary Manchester, Ajinkya Jain, Keegan Go, Stefan Schaal, Tom Erez, Yuval Tassa
2025	J	`jnl`	RoboBallet: Planning for Multi-Robot Reaching with Graph Neural Networks and Reinforcement Learning. CoRR Matthew Lai, Keegan Go, Zhibin Li, Torsten Kröger, Stefan Schaal, Kelsey Allen, Jonathan Scholz
2025	J	`jnl`	RoboBallet: Planning for multirobot reaching with graph neural networks and reinforcement learning. Sci. Robotics Matthew Lai, Keegan Go, Zhibin Li, Torsten Kröger, Stefan Schaal, Kelsey Allen, Jonathan Scholz
2025	J	`jnl`	The Trajectory Bundle Method: Unifying Sequential-Convex Programming and Sampling-Based Trajectory Optimization. CoRR Kevin Tracy, John Z. Zhang, Jon Arrizabalaga, Stefan Schaal, Yuval Tassa, Tom Erez, Zachary Manchester
2024	J	`jnl`	A Comparison of Imitation Learning Algorithms for Bimanual Manipulation. CoRR Michael Drolet, Simon Stepputtis, Siva Kailas, Ajinkya Jain, Jan Peters, Stefan Schaal, Heni Ben Amor
2024	J	`jnl`	A Comparison of Imitation Learning Algorithms for Bimanual Manipulation. IEEE Robotics Autom. Lett. Michael Drolet, Simon Stepputtis, Siva Kailas, Ajinkya Jain, Jan Peters, Stefan Schaal, Heni Ben Amor
2024	A	`conf`	GenCHiP: Generating Robot Policy Code for High-Precision and Contact-Rich Manipulation Tasks. IROS Kaylee Burns, Ajinkya Jain, Keegan Go, Fei Xia, Michael Stark, Stefan Schaal, Karol Hausman
2024	J	`jnl`	GenCHiP: Generating Robot Policy Code for High-Precision and Contact-Rich Manipulation Tasks. CoRR Kaylee Burns, Ajinkya Jain, Keegan Go, Fei Xia, Michael Stark, Stefan Schaal, Karol Hausman
2024	J	`jnl`	Multistage Cable Routing Through Hierarchical Imitation Learning. IEEE Trans. Robotics Jianlan Luo, Charles Xu, Xinyang Geng, Gilbert Feng, Kuan Fang, Liam Tan, Stefan Schaal, Sergey Levine
2024	A*	`conf`	Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. ICRA Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew E. Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey T. Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, João Silvério, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Sünderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martín-Martín, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante-Gomez, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin
2024	Misc	`conf`	RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches. CoRL Priya Sundaresan, Quan Vuong, Jiayuan Gu, Peng Xu, Ted Xiao, Sean Kirmani, Tianhe Yu, Michael Stark, Ajinkya Jain, Karol Hausman, Dorsa Sadigh, Jeannette Bohg, Stefan Schaal
2024	J	`jnl`	RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches. CoRR Priya Sundaresan, Quan Vuong, Jiayuan Gu, Peng Xu, Ted Xiao, Sean Kirmani, Tianhe Yu, Michael Stark, Ajinkya Jain, Karol Hausman, Dorsa Sadigh, Jeannette Bohg, Stefan Schaal
2024	A*	`conf`	SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning. ICRA Jianlan Luo, Zheyuan Hu, Charles Xu, You Liang Tan, Jacob Berg, Archit Sharma, Stefan Schaal, Chelsea Finn, Abhishek Gupta, Sergey Levine
2024	J	`jnl`	SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning. CoRR Jianlan Luo, Zheyuan Hu, Charles Xu, You Liang Tan, Jacob Berg, Archit Sharma, Stefan Schaal, Chelsea Finn, Abhishek Gupta, Sergey Levine
2023	J	`jnl`	Efficient Online Learning of Contact Force Models for Connector Insertion. CoRR Kevin Tracy, Zachary Manchester, Ajinkya Jain, Keegan Go, Stefan Schaal, Tom Erez, Yuval Tassa
2023	J	`jnl`	Multi-Stage Cable Routing through Hierarchical Imitation Learning. CoRR Jianlan Luo, Charles Xu, Xinyang Geng, Gilbert Feng, Kuan Fang, Liam Tan, Stefan Schaal, Sergey Levine
2023	A*	`conf`	Zero-Shot Policy Transfer with Disentangled Task Representation of Meta-Reinforcement Learning. ICRA Zheng Wu, Yichen Xie, Wenzhao Lian, Changhao Wang, Yanjiang Guo, Jianyu Chen, Stefan Schaal, Masayoshi Tomizuka
2022	A	`conf`	A System for Imitation Learning of Contact-Rich Bimanual Manipulation Policies. IROS Simon Stepputtis, Maryam Bandari, Stefan Schaal, Heni Ben Amor
2022	J	`jnl`	A System for Imitation Learning of Contact-Rich Bimanual Manipulation Policies. CoRR Simon Stepputtis, Maryam Bandari, Stefan Schaal, Heni Ben Amor
2022	A*	`conf`	CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation. ICRA Bowen Wen, Wenzhao Lian, Kostas E. Bekris, Stefan Schaal
2022	J	`jnl`	Combining learned and analytical models for predicting action effects from sensory data. Int. J. Robotics Res. Alina Kloss, Stefan Schaal, Jeannette Bohg
2022	J	`jnl`	Deformable One-Dimensional Object Detection for Routing and Manipulation. CoRR Azarakhsh Keipour, Maryam Bandari, Stefan Schaal
2022	J	`jnl`	Deformable One-Dimensional Object Detection for Routing and Manipulation. IEEE Robotics Autom. Lett. Azarakhsh Keipour, Maryam Bandari, Stefan Schaal
2022	J	`jnl`	Detection and Physical Interaction with Deformable Linear Objects. CoRR Azarakhsh Keipour, Mohammadreza Mousaei, Maryam Bandari, Stefan Schaal, Sebastian A. Scherer
2022	A	`conf`	Efficient Spatial Representation and Routing of Deformable One-Dimensional Objects for Manipulation. IROS Azarakhsh Keipour, Maryam Bandari, Stefan Schaal
2022	J	`jnl`	Efficient Spatial Representation and Routing of Deformable One-Dimensional Objects for Manipulation. CoRR Azarakhsh Keipour, Maryam Bandari, Stefan Schaal
2022	A*	`conf`	Multi-Task Learning with Sequence-Conditioned Transporter Networks. ICRA Michael H. Lim, Andy Zeng, Brian Ichter, Maryam Bandari, Erwin Coumans, Claire J. Tomlin, Stefan Schaal, Aleksandra Faust
2022	A*	`conf`	Offline Meta-Reinforcement Learning for Industrial Insertion. ICRA Tony Z. Zhao, Jianlan Luo, Oleg Sushkov, Rugile Pevceviciute, Nicolas Heess, Jon Scholz, Stefan Schaal, Sergey Levine
2022	J	`jnl`	Prim-LAfD: A Framework to Learn and Adapt Primitive-Based Skills from Demonstrations for Insertion Tasks. CoRR Zheng Wu, Wenzhao Lian, Changhao Wang, Mengxi Li, Stefan Schaal, Masayoshi Tomizuka
2022	J	`jnl`	Residual Learning From Demonstration: Adapting DMPs for Contact-Rich Manipulation. IEEE Robotics Autom. Lett. Todor Davchev, Kevin Sebastian Luck, Michael Burke, Franziska Meier, Stefan Schaal, Subramanian Ramamoorthy
2022	J	`jnl`	Robotic Cable Routing with Spatial Representation. IEEE Robotics Autom. Lett. Shiyu Jin, Wenzhao Lian, Changhao Wang, Masayoshi Tomizuka, Stefan Schaal
2022	J	`jnl`	Supervised learning and reinforcement learning of feedback models for reactive behaviors: Tactile feedback testbed. Int. J. Robotics Res. Giovanni Sutanto, Katharina Rombach, Yevgen Chebotar, Zhe Su, Stefan Schaal, Gaurav S. Sukhatme, Franziska Meier
2022	A*	`conf`	Symbolic State Estimation with Predicates for Contact-Rich Manipulation Tasks. ICRA Toki Migimatsu, Wenzhao Lian, Jeannette Bohg, Stefan Schaal
2022	J	`jnl`	Symbolic State Estimation with Predicates for Contact-Rich Manipulation Tasks. CoRR Toki Migimatsu, Wenzhao Lian, Jeannette Bohg, Stefan Schaal
2022	A*	`conf`	Wish you were here: Hindsight Goal Selection for long-horizon dexterous manipulation. ICLR Todor Davchev, Oleg Olegovich Sushkov, Jean-Baptiste Regli, Stefan Schaal, Yusuf Aytar, Markus Wulfmeier, Jon Scholz
2022	—	`conf`	You Only Demonstrate Once: Category-Level Manipulation from Single Visual Demonstration. Robotics: Science and Systems Bowen Wen, Wenzhao Lian, Kostas E. Bekris, Stefan Schaal
2022	J	`jnl`	You Only Demonstrate Once: Category-Level Manipulation from Single Visual Demonstration. CoRR Bowen Wen, Wenzhao Lian, Kostas E. Bekris, Stefan Schaal
2022	J	`jnl`	Zero-Shot Policy Transfer with Disentangled Task Representation of Meta-Reinforcement Learning. CoRR Zheng Wu, Yichen Xie, Wenzhao Lian, Changhao Wang, Yanjiang Guo, Jianyu Chen, Stefan Schaal, Masayoshi Tomizuka
2021	J	`jnl`	A Robustness Analysis of Inverse Optimal Control of Bipedal Walking. CoRR John R. Rebula, Stefan Schaal, James M. Finley, Ludovic Righetti
2021	J	`jnl`	Action planning and control under uncertainty emerge through a desirability-driven competition between parallel encoding motor plans. PLoS Comput. Biol. Vince Enachescu, Paul R. Schrater, Stefan Schaal, Vassilios N. Christopoulos
2021	A	`conf`	Benchmarking Off-The-Shelf Solutions to Robotic Assembly Tasks. IROS Wenzhao Lian, Tim Kelch, Dirk Holz, Adam Norton, Stefan Schaal
2021	J	`jnl`	Benchmarking Off-The-Shelf Solutions to Robotic Assembly Tasks. CoRR Wenzhao Lian, Tim Kelch, Dirk Holz, Adam Norton, Stefan Schaal
2021	J	`jnl`	CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation. CoRR Bowen Wen, Wenzhao Lian, Kostas E. Bekris, Stefan Schaal
2021	J	`jnl`	From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence. CoRR Nicholas Roy, Ingmar Posner, Tim D. Barfoot, Philippe Beaudoin, Yoshua Bengio, Jeannette Bohg, Oliver Brock, Isabelle Depatie, Dieter Fox, Daniel E. Koditschek, Tomás Lozano-Pérez, Vikash Mansinghka, Christopher J. Pal, Blake A. Richards, Dorsa Sadigh, Stefan Schaal, Gaurav S. Sukhatme, Denis Thérien, Marc Toussaint, Michiel van de Panne
2021	A*	`conf`	Learning Dense Rewards for Contact-Rich Manipulation Tasks. ICRA Zheng Wu, Wenzhao Lian, Vaibhav V. Unhelkar, Masayoshi Tomizuka, Stefan Schaal
2021	J	`jnl`	Multi-Task Learning with Sequence-Conditioned Transporter Networks. CoRR Michael H. Lim, Andy Zeng, Brian Ichter, Maryam Bandari, Erwin Coumans, Claire J. Tomlin, Stefan Schaal, Aleksandra Faust
2021	J	`jnl`	Offline Meta-Reinforcement Learning for Industrial Insertion. CoRR Tony Z. Zhao, Jianlan Luo, Oleg Sushkov, Rugile Pevceviciute, Nicolas Heess, Jonathan Scholz, Stefan Schaal, Sergey Levine
2021	—	`conf`	Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study. Robotics: Science and Systems Jianlan Luo, Oleg Sushkov, Rugile Pevceviciute, Wenzhao Lian, Chang Su, Mel Vecerík, Ning Ye, Stefan Schaal, Jonathan Scholz
2021	J	`jnl`	Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study. CoRR Jianlan Luo, Oleg Sushkov, Rugile Pevceviciute, Wenzhao Lian, Chang Su, Mel Vecerík, Ning Ye, Stefan Schaal, Jonathan Scholz
2021	J	`jnl`	Wish you were here: Hindsight Goal Selection for long-horizon dexterous manipulation. CoRR Todor Davchev, Oleg Sushkov, Jean-Baptiste Regli, Stefan Schaal, Yusuf Aytar, Markus Wulfmeier, Jon Scholz
2020	J	`jnl`	A New Age of Computing and the Brain. CoRR Polina Golland, Jack L. Gallant, Greg Hager, Hanspeter Pfister, Christos H. Papadimitriou, Stefan Schaal, Joshua T. Vogelstein
2020	B	`conf`	An Interior Point Method Solving Motion Planning Problems with Narrow Passages. RO-MAN Jim Mainprice, Nathan D. Ratliff, Marc Toussaint, Stefan Schaal
2020	J	`jnl`	An Interior Point Method Solving Motion Planning Problems with Narrow Passages. CoRR Jim Mainprice, Nathan D. Ratliff, Marc Toussaint, Stefan Schaal
2020	J	`jnl`	Learning Dense Rewards for Contact-Rich Manipulation Tasks. CoRR Zheng Wu, Wenzhao Lian, Vaibhav V. Unhelkar, Masayoshi Tomizuka, Stefan Schaal
2020	J	`jnl`	Residual Learning from Demonstration. CoRR Todor Davchev, Kevin Sebastian Luck, Michael Burke, Franziska Meier, Stefan Schaal, Subramanian Ramamoorthy
2020	J	`jnl`	Scaling simulation-to-real transfer by learning a latent space of robot skills. Int. J. Robotics Res. Ryan Julian, Eric Heiden, Zhanpeng He, Hejia Zhang, Stefan Schaal, Joseph J. Lim, Gaurav S. Sukhatme, Karol Hausman
2020	J	`jnl`	Supervised Learning and Reinforcement Learning of Feedback Models for Reactive Behaviors: Tactile Feedback Testbed. CoRR Giovanni Sutanto, Katharina Rombach, Yevgen Chebotar, Zhe Su, Stefan Schaal, Gaurav S. Sukhatme, Franziska Meier
2019	J	`jnl`	A Robustness Analysis of Inverse Optimal Control of Bipedal Walking. IEEE Robotics Autom. Lett. John R. Rebula, Stefan Schaal, James M. Finley, Ludovic Righetti
2019	—	`conf`	Learning and Adaptation of Inverse Dynamics Models: A Comparison. Humanoids Kevin Hitzler, Franziska Meier, Stefan Schaal, Tamim Asfour
2018	A*	`conf`	An MPC Walking Framework with External Contact Forces. ICRA Sean Mason, Nicholas Rotella, Stefan Schaal, Ludovic Righetti
2018	A*	`conf`	Learning Manipulation Graphs from Demonstrations Using Multimodal Sensory Signals. ICRA Zhe Su, Oliver Kroemer, Gerald E. Loeb, Gaurav S. Sukhatme, Stefan Schaal
2018	A*	`conf`	Learning Sensor Feedback Models from Demonstrations via Phase-Modulated Neural Networks. ICRA Giovanni Sutanto, Zhe Su, Stefan Schaal, Franziska Meier
2018	—	`conf`	Learning Task-Specific Dynamics to Improve Whole-Body Control. Humanoids Andrej Gams, Sean A. Mason, Ales Ude, Stefan Schaal, Ludovic Righetti
2018	J	`jnl`	Learning Task-Specific Dynamics to Improve Whole-Body Control. CoRR Andrej Gams, Sean A. Mason, Ales Ude, Stefan Schaal, Ludovic Righetti
2018	A*	`conf`	On Time Optimization of Centroidal Momentum Dynamics. ICRA Brahayam Ponton, Alexander Herzog, Andrea Del Prete, Stefan Schaal, Ludovic Righetti
2018	A*	`conf`	Online Learning of a Memory for Learning Rates. ICRA Franziska Meier, Daniel Kappler, Stefan Schaal
2018	A*	`conf`	Probabilistic Recurrent State-Space Models. ICML Andreas Doerr, Christian Daniel, Martin Schiegg, Duy Nguyen-Tuong, Stefan Schaal, Marc Toussaint, Sebastian Trimpe
2018	J	`jnl`	Real-Time Perception Meets Reactive Motion Generation. IEEE Robotics Autom. Lett. Daniel Kappler, Franziska Meier, Jan Issac, Jim Mainprice, Cristina Garcia Cifuentes, Manuel Wuthrich, Vincent Berenz, Stefan Schaal, Nathan D. Ratliff, Jeannette Bohg
2018	—	`conf`	Scaling Simulation-to-Real Transfer by Learning Composable Robot Skills. ISER Ryan Julian, Eric Heiden, Zhanpeng He, Hejia Zhang, Stefan Schaal, Joseph J. Lim, Gaurav S. Sukhatme, Karol Hausman
2018	J	`jnl`	Scaling simulation-to-real transfer by learning composable robot skills. CoRR Ryan Julian, Eric Heiden, Zhanpeng He, Hejia Zhang, Stefan Schaal, Joseph J. Lim, Gaurav S. Sukhatme, Karol Hausman
2018	J	`jnl`	The Playful Software Platform: Reactive Programming for Orchestrating Robotic Behavior. IEEE Robotics Autom. Mag. Vincent Berenz, Stefan Schaal
2018	A*	`conf`	Time-Contrastive Networks: Self-Supervised Learning from Video. ICRA Pierre Sermanet, Corey Lynch, Yevgen Chebotar, Jasmine Hsu, Eric Jang, Stefan Schaal, Sergey Levine
2018	A*	`conf`	Unsupervised Contact Learning for Humanoid Estimation and Control. ICRA Nicholas Rotella, Stefan Schaal, Ludovic Righetti
2018	J	`jnl`	Zero-Shot Skill Composition and Simulation-to-Real Transfer by Learning Task Representations. CoRR Zhanpeng He, Ryan Julian, Eric Heiden, Hejia Zhang, Stefan Schaal, Joseph J. Lim, Gaurav S. Sukhatme, Karol Hausman
2017	J	`jnl`	A MPC Walking Framework With External Contact Forces. CoRR Sean Mason, Nicholas Rotella, Stefan Schaal, Ludovic Righetti
2017	J	`jnl`	A New Data Source for Inverse Dynamics Learning. CoRR Daniel Kappler, Franziska Meier, Nathan D. Ratliff, Stefan Schaal
2017	A	`conf`	A new data source for inverse dynamics learning. IROS Daniel Kappler, Franziska Meier, Nathan D. Ratliff, Stefan Schaal
2017	J	`jnl`	Balancing and Walking Using Full Dynamics LQR Control With Contact Constraints. CoRR Sean Mason, Nicholas Rotella, Stefan Schaal, Ludovic Righetti
2017	A*	`conf`	Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning. ICML Yevgen Chebotar, Karol Hausman, Marvin Zhang, Gaurav S. Sukhatme, Stefan Schaal, Sergey Levine
2017	J	`jnl`	Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning. CoRR Yevgen Chebotar, Karol Hausman, Marvin Zhang, Gaurav S. Sukhatme, Stefan Schaal, Sergey Levine
2017	J	`jnl`	Combining learned and analytical models for predicting action effects. CoRR Alina Kloss, Stefan Schaal, Jeannette Bohg
2017	J	`jnl`	Interactive Perception: Leveraging Action in Perception and Perception in Action. IEEE Trans. Robotics Jeannette Bohg, Karol Hausman, Bharath Sankaran, Oliver Brock, Danica Kragic, Stefan Schaal, Gaurav S. Sukhatme
2017	J	`jnl`	Learning Sensor Feedback Models from Demonstrations via Phase-Modulated Neural Networks. CoRR Giovanni Sutanto, Zhe Su, Stefan Schaal, Franziska Meier
2017	A*	`conf`	Learning feedback terms for reactive planning and control. ICRA Akshara Rai, Giovanni Sutanto, Stefan Schaal, Franziska Meier
2017	—	`ch.`	Locally Weighted Regression for Control. Encyclopedia of Machine Learning and Data Mining Jo-Anne Ting, Franziska Meier, Sethu Vijayakumar, Stefan Schaal
2017	J	`jnl`	Model-Based Policy Search for Automatic Tuning of Multivariate PID Controllers. CoRR Andreas Doerr, Duy Nguyen-Tuong, Alonso Marco, Stefan Schaal, Sebastian Trimpe
2017	A*	`conf`	Model-based policy search for automatic tuning of multivariate PID controllers. ICRA Andreas Doerr, Duy Nguyen-Tuong, Alonso Marco, Stefan Schaal, Sebastian Trimpe
2017	—	`conf`	Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets. NIPS Karol Hausman, Yevgen Chebotar, Stefan Schaal, Gaurav S. Sukhatme, Joseph J. Lim
2017	J	`jnl`	Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets. CoRR Karol Hausman, Yevgen Chebotar, Stefan Schaal, Gaurav S. Sukhatme, Joseph J. Lim
2017	J	`jnl`	On Time Optimisation of Centroidal Momentum Dynamics. CoRR Brahayam Ponton, Alexander Herzog, Stefan Schaal, Ludovic Righetti
2017	J	`jnl`	On the Design of LQR Kernels for Efficient Controller Learning. CoRR Alonso Marco, Philipp Hennig, Stefan Schaal, Sebastian Trimpe
2017	—	`conf`	On the design of LQR kernels for efficient controller learning. CDC Alonso Marco, Philipp Hennig, Stefan Schaal, Sebastian Trimpe
2017	A	`conf`	On the relevance of grasp metrics for predicting grasp success. IROS Carlos Rubert, Daniel Kappler, Antonio Morales, Stefan Schaal, Jeannette Bohg
2017	J	`jnl`	Online Learning of a Memory for Learning Rates. CoRR Franziska Meier, Daniel Kappler, Stefan Schaal
2017	Misc	`conf`	Optimizing Long-term Predictions for Model-based Policy Search. CoRL Andreas Doerr, Christian Daniel, Duy Nguyen-Tuong, Alonso Marco, Stefan Schaal, Marc Toussaint, Sebastian Trimpe
2017	A*	`conf`	Path integral guided policy search. ICRA Yevgen Chebotar, Mrinal Kalakrishnan, Ali Yahya, Adrian Li, Stefan Schaal, Sergey Levine
2017	J	`jnl`	Probabilistic Articulated Real-Time Tracking for Robot Manipulation. IEEE Robotics Autom. Lett. Cristina Garcia Cifuentes, Jan Issac, Manuel Wüthrich, Stefan Schaal, Jeannette Bohg
2017	J	`jnl`	Real-time Perception meets Reactive Motion Generation. CoRR Daniel Kappler, Franziska Meier, Jan Issac, Jim Mainprice, Cristina Garcia Cifuentes, Manuel Wüthrich, Vincent Berenz, Stefan Schaal, Nathan D. Ratliff, Jeannette Bohg
2017	—	`conf`	Regrasping Using Tactile Perception and Supervised Policy Learning. AAAI Spring Symposia Yevgen Chebotar, Karol Hausman, Oliver Kroemer, Gaurav S. Sukhatme, Stefan Schaal
2017	J	`jnl`	Unsupervised Contact Learning for Humanoid Estimation and Control. CoRR Nicholas Rotella, Stefan Schaal, Ludovic Righetti
2017	J	`jnl`	Virtual vs. Real: Trading Off Simulations and Physical Experiments in Reinforcement Learning with Bayesian Optimization. CoRR Alonso Marco, Felix Berkenkamp, Philipp Hennig, Angela P. Schoellig, Andreas Krause, Stefan Schaal, Sebastian Trimpe
2017	A*	`conf`	Virtual vs. real: Trading off simulations and physical experiments in reinforcement learning with Bayesian optimization. ICRA Alonso Marco, Felix Berkenkamp, Philipp Hennig, Angela P. Schoellig, Andreas Krause, Stefan Schaal, Sebastian Trimpe
2016	J	`jnl`	A Convex Model of Momentum Dynamics for Multi-Contact Motion Generation. CoRR Brahayam Ponton, Alexander Herzog, Stefan Schaal, Ludovic Righetti
2016	J	`jnl`	A Probabilistic Representation for Dynamic Movement Primitives. CoRR Franziska Meier, Stefan Schaal
2016	—	`conf`	A convex model of humanoid momentum dynamics for multi-contact motion generation. Humanoids Brahayam Ponton, Alexander Herzog, Stefan Schaal, Ludovic Righetti
2016	J	`jnl`	A new perspective and extension of the Gaussian Filter. Int. J. Robotics Res. Manuel Wüthrich, Sebastian Trimpe, Cristina Garcia Cifuentes, Daniel Kappler, Stefan Schaal
2016	J	`jnl`	Automatic LQR Tuning Based on Gaussian Process Global Optimization. CoRR Alonso Marco, Philipp Hennig, Jeannette Bohg, Stefan Schaal, Sebastian Trimpe
2016	A*	`conf`	Automatic LQR tuning based on Gaussian process global optimization. ICRA Alonso Marco, Philipp Hennig, Jeannette Bohg, Stefan Schaal, Sebastian Trimpe
2016	—	`conf`	Balancing and walking using full dynamics LQR control with contact constraints. Humanoids Sean Mason, Nicholas Rotella, Stefan Schaal, Ludovic Righetti
2016	J	`jnl`	Bioinspired Motor Control for Articulated Robots [From the Guest Editors]. IEEE Robotics Autom. Mag. Nicola Vitiello, Auke Jan Ijspeert, Stefan Schaal
2016	J	`jnl`	DOOMED: Direct Online Optimization of Modeling Errors in Dynamics. Big Data Nathan D. Ratliff, Franziska Meier, Daniel Kappler, Stefan Schaal
2016	J	`jnl`	DOOMED: Direct Online Optimization of Modeling Errors in Dynamics. CoRR Nathan D. Ratliff, Franziska Meier, Daniel Kappler, Stefan Schaal
2016	J	`jnl`	Depth-Based Object Tracking Using a Robust Gaussian Filter. CoRR Jan Issac, Manuel Wüthrich, Cristina Garcia Cifuentes, Jeannette Bohg, Sebastian Trimpe, Stefan Schaal
2016	A*	`conf`	Depth-based object tracking using a Robust Gaussian Filter. ICRA Jan Issac, Manuel Wüthrich, Cristina Garcia Cifuentes, Jeannette Bohg, Sebastian Trimpe, Stefan Schaal
2016	A*	`conf`	Drifting Gaussian processes with varying neighborhood sizes for online model learning. ICRA Franziska Meier, Stefan Schaal
2016	A*	`conf`	Exemplar-based prediction of global object shape from local shape similarity. ICRA Jeannette Bohg, Daniel Kappler, Stefan Schaal
2016	—	`conf`	Generalizing Regrasping with Supervised Policy Learning. ISER Yevgen Chebotar, Karol Hausman, Oliver Kroemer, Gaurav S. Sukhatme, Stefan Schaal
2016	J	`jnl`	Inertial Sensor-Based Humanoid Joint State Estimation. CoRR Nicholas Rotella, Sean Mason, Stefan Schaal, Ludovic Righetti
2016	A*	`conf`	Inertial sensor-based humanoid joint state estimation. ICRA Nicholas Rotella, Sean Mason, Stefan Schaal, Ludovic Righetti
2016	J	`jnl`	Interactive Perception: Leveraging Action in Perception and Perception in Action. CoRR Jeannette Bohg, Karol Hausman, Bharath Sankaran, Oliver Brock, Danica Kragic, Stefan Schaal, Gaurav S. Sukhatme
2016	J	`jnl`	Learning Feedback Terms for Reactive Planning and Control. CoRR Akshara Rai, Giovanni Sutanto, Franziska Meier, Stefan Schaal
2016	—	`conf`	Learning to Switch Between Sensorimotor Primitives Using Multimodal Haptic Signals. SAB Zhe Su, Oliver Kroemer, Gerald E. Loeb, Gaurav S. Sukhatme, Stefan Schaal
2016	A	`conf`	Learning where to search using visual attention. IROS Alina Kloss, Daniel Kappler, Hendrik P. A. Lensch, Martin V. Butz, Stefan Schaal, Jeannette Bohg
2016	J	`jnl`	Momentum control with hierarchical inverse dynamics on a torque-controlled humanoid. Auton. Robots Alexander Herzog, Nicholas Rotella, Sean Mason, Felix Grimminger, Stefan Schaal, Ludovic Righetti
2016	C	`conf`	On the Effects of Measurement Uncertainty in Optimal Control of Contact Interactions. WAFR Brahayam Pontón, Stefan Schaal, Ludovic Righetti
2016	J	`jnl`	On the Fundamental Importance of Gauss-Newton in Motion Optimization. CoRR Nathan D. Ratliff, Marc Toussaint, Jeannette Bohg, Stefan Schaal
2016	A*	`conf`	Optimizing for what matters: The top grasp hypothesis. ICRA Daniel Kappler, Stefan Schaal, Jeannette Bohg
2016	J	`jnl`	Path Integral Guided Policy Search. CoRR Yevgen Chebotar, Mrinal Kalakrishnan, Ali Yahya, Adrian Li, Stefan Schaal, Sergey Levine
2016	J	`jnl`	Probabilistic Articulated Real-Time Tracking for Robot Manipulation. CoRR Cristina Garcia Cifuentes, Jan Issac, Manuel Wüthrich, Stefan Schaal, Jeannette Bohg
2016	J	`jnl`	Risk sensitive nonlinear optimal control with measurement uncertainty. CoRR Brahayam Ponton, Stefan Schaal, Ludovic Righetti
2016	—	`ch.`	Robot Learning. Springer Handbook of Robotics, 2nd Ed. Jan Peters, Daniel D. Lee, Jens Kober, Duy Nguyen-Tuong, J. Andrew Bagnell, Stefan Schaal
2016	A*	`conf`	Robot arm pose estimation by pixel-wise regression of joint angles. ICRA Felix Widmaier, Daniel Kappler, Stefan Schaal, Jeannette Bohg
2016	C	`conf`	Robust Gaussian filtering using a pseudo measurement. ACC Manuel Wuthrich, Cristina Garcia Cifuentes, Sebastian Trimpe, Franziska Meier, Jeannette Bohg, Jan Issac, Stefan Schaal
2016	A	`conf`	Self-supervised regrasping using spatio-temporal tactile features and reinforcement learning. IROS Yevgen Chebotar, Karol Hausman, Zhe Su, Gaurav S. Sukhatme, Stefan Schaal
2016	J	`jnl`	Stepping Stabilization Using a Combination of DCM Tracking and Step Adjustment. CoRR Majid Khadiv, Sébastien Kleff, Alexander Herzog, S. Ali A. Moosavian, Stefan Schaal, Ludovic Righetti
2016	A	`conf`	Structured contact force optimization for kino-dynamic motion generation. IROS Alexander Herzog, Stefan Schaal, Ludovic Righetti
2016	J	`jnl`	Structured contact force optimization for kino-dynamic motion generation. CoRR Alexander Herzog, Stefan Schaal, Ludovic Righetti
2016	—	`conf`	Surface tilt perception with a biomimetic tactile sensor. BioRob Zhe Su, Stefan Schaal, Gerald E. Loeb
2016	A	`conf`	Towards robust online inverse dynamics learning. IROS Franziska Meier, Daniel Kappler, Nathan D. Ratliff, Stefan Schaal
2016	A	`conf`	Warping the workspace geometry with electric potentials for motion optimization of manipulation tasks. IROS Jim Mainprice, Nathan D. Ratliff, Stefan Schaal
2015	—	`conf`	A New Perspective and Extension of the Gaussian Filter. Robotics: Science and Systems Manuel Wüthrich, Sebastian Trimpe, Daniel Kappler, Stefan Schaal
2015	J	`jnl`	A New Perspective and Extension of the Gaussian Filter. CoRR Manuel Wüthrich, Sebastian Trimpe, Daniel Kappler, Stefan Schaal
2015	—	`conf`	Data-Driven Online Decision Making for Autonomous Manipulation. Robotics: Science and Systems Daniel Kappler, Peter Pastor, Mrinal Kalakrishnan, Manuel Wüthrich, Stefan Schaal
2015	—	`conf`	Direct Loss Minimization Inverse Optimal Control. Robotics: Science and Systems Andreas Doerr, Nathan D. Ratliff, Jeannette Bohg, Marc Toussaint, Stefan Schaal
2015	—	`conf`	Force estimation and slip detection/classification for grip control using a biomimetic tactile sensor. Humanoids Zhe Su, Karol Hausman, Yevgen Chebotar, Artem Molchanov, Gerald E. Loeb, Gaurav S. Sukhatme, Stefan Schaal
2015	J	`jnl`	Humanoid Momentum Estimation Using Sensed Contact Wrenches. CoRR Nicholas Rotella, Alexander Herzog, Stefan Schaal, Ludovic Righetti
2015	—	`conf`	Humanoid momentum estimation using sensed contact wrenches. Humanoids Nicholas Rotella, Alexander Herzog, Stefan Schaal, Ludovic Righetti
2015	A*	`conf`	Leveraging big data for grasp planning. ICRA Daniel Kappler, Jeannette Bohg, Stefan Schaal
2015	J	`jnl`	Policy Learning with Hypothesis based Local Action Selection. CoRR Bharath Sankaran, Jeannette Bohg, Nathan D. Ratliff, Stefan Schaal
2015	J	`jnl`	Probabilistic Depth Image Registration incorporating Nonvisual Information. CoRR Manuel Wüthrich, Peter Pastor, Ludovic Righetti, Aude Billard, Stefan Schaal
2015	J	`jnl`	Probabilistic Object Tracking using a Range Camera. CoRR Manuel Wüthrich, Peter Pastor, Mrinal Kalakrishnan, Jeannette Bohg, Stefan Schaal
2015	J	`jnl`	Robust Gaussian Filtering. CoRR Manuel Wüthrich, Cristina Garcia Cifuentes, Sebastian Trimpe, Stefan Schaal
2015	J	`jnl`	The Coordinate Particle Filter - A novel Particle Filter for High Dimensional Systems. CoRR Manuel Wüthrich, Jeannette Bohg, Daniel Kappler, Claudia Pfreundt, Stefan Schaal
2015	A*	`conf`	The Coordinate Particle Filter - a novel Particle Filter for high dimensional systems. ICRA Manuel Wüthrich, Jeannette Bohg, Daniel Kappler, Claudia Pfreundt, Stefan Schaal
2015	—	`conf`	Trajectory generation for multi-contact momentum control. Humanoids Alexander Herzog, Nicholas Rotella, Stefan Schaal, Ludovic Righetti
2015	J	`jnl`	Trajectory generation for multi-contact momentum-control. CoRR Alexander Herzog, Nicholas Rotella, Stefan Schaal, Ludovic Righetti
2015	A*	`conf`	Understanding the geometry of workspace obstacles in Motion Optimization. ICRA Nathan D. Ratliff, Marc Toussaint, Stefan Schaal
2014	J	`jnl`	An autonomous manipulation system based on force control and optimization. Auton. Robots Ludovic Righetti, Mrinal Kalakrishnan, Peter Pastor, Jonathan Binney, Jonathan Kelly, Randolph Voorhies, Gaurav S. Sukhatme, Stefan Schaal
2014	A	`conf`	Balancing experiments on a torque-controlled humanoid with hierarchical inverse dynamics. IROS Alexander Herzog, Ludovic Righetti, Felix Grimminger, Peter Pastor, Stefan Schaal
2014	A	`conf`	Dual execution of optimized contact interaction trajectories. IROS Marc Toussaint, Nathan D. Ratliff, Jeannette Bohg, Ludovic Righetti, Peter Englert, Stefan Schaal
2014	A	`conf`	Efficient Bayesian local model learning for control. IROS Franziska Meier, Philipp Hennig, Stefan Schaal
2014	—	`conf`	Full dynamics LQR control of a humanoid robot: An experimental study on balancing and squatting. Humanoids Sean Mason, Ludovic Righetti, Stefan Schaal
2014	—	`conf`	Incremental Local Gaussian Regression. NIPS Franziska Meier, Philipp Hennig, Stefan Schaal
2014	—	`conf`	Learning coupling terms for obstacle avoidance. Humanoids Akshara Rai, Franziska Meier, Auke Jan Ijspeert, Stefan Schaal
2014	J	`jnl`	Learning of grasp selection based on shape-templates. Auton. Robots Alexander Herzog, Peter Pastor, Mrinal Kalakrishnan, Ludovic Righetti, Jeannette Bohg, Tamim Asfour, Stefan Schaal
2014	J	`jnl`	Local Gaussian Regression. CoRR Franziska Meier, Philipp Hennig, Stefan Schaal
2014	J	`jnl`	Momentum Control with Hierarchical Inverse Dynamics on a Torque-Controlled Humanoid. CoRR Alexander Herzog, Nicholas Rotella, Sean Mason, Felix Grimminger, Stefan Schaal, Ludovic Righetti
2014	A*	`conf`	Robot arm pose estimation through pixel-wise part classification. ICRA Jeannette Bohg, Javier Romero, Alexander Herzog, Stefan Schaal
2014	J	`jnl`	State Estimation for a Humanoid Robot. CoRR Nicholas Rotella, Michael Blösch, Ludovic Righetti, Stefan Schaal
2014	A	`conf`	State estimation for a humanoid robot. IROS Nicholas Rotella, Michael Blösch, Ludovic Righetti, Stefan Schaal
2013	J	`jnl`	Dynamical Movement Primitives: Learning Attractor Models for Motor Behaviors. Neural Comput. Auke Jan Ijspeert, Jun Nakanishi, Heiko Hoffmann, Peter Pastor, Stefan Schaal
2013	J	`jnl`	From dynamic movement primitives to associative skill memories. Robotics Auton. Syst. Peter Pastor, Mrinal Kalakrishnan, Franziska Meier, Freek Stulp, Jonas Buchli, Evangelos A. Theodorou, Stefan Schaal
2013	A*	`conf`	Learning objective functions for manipulation. ICRA Mrinal Kalakrishnan, Peter Pastor, Ludovic Righetti, Stefan Schaal
2013	A*	`conf`	Learning task error models for manipulation. ICRA Peter Pastor, Mrinal Kalakrishnan, Jonathan Binney, Jonathan Kelly, Ludovic Righetti, Gaurav S. Sukhatme, Stefan Schaal
2013	J	`jnl`	Momentum-based Balance Control for Torque-controlled Humanoids CoRR Alexander Herzog, Ludovic Righetti, Felix Grimminger, Peter Pastor, Stefan Schaal
2013	J	`jnl`	Optimal distribution of contact forces with inverse-dynamics control. Int. J. Robotics Res. Ludovic Righetti, Jonas Buchli, Michael N. Mistry, Mrinal Kalakrishnan, Stefan Schaal
2013	A	`conf`	Probabilistic object tracking using a range camera. IROS Manuel Wuthrich, Peter Pastor, Mrinal Kalakrishnan, Jeannette Bohg, Stefan Schaal
2012	—	`conf`	Encoding of periodic and their transient motions by a single dynamic movement primitive. Humanoids Johannes Ernesti, Ludovic Righetti, Martin Do, Tamim Asfour, Stefan Schaal
2012	A*	`conf`	Learning Force Control Policies for Compliant Robotic Manipulation. ICML Mrinal Kalakrishnan, Ludovic Righetti, Peter Pastor, Stefan Schaal
2012	J	`jnl`	Model-Free Reinforcement Learning of Impedance Control in Stochastic Environments. IEEE Trans. Auton. Ment. Dev. Freek Stulp, Jonas Buchli, Alice Ellmer, Michael N. Mistry, Evangelos A. Theodorou, Stefan Schaal
2012	A	`conf`	Movement Segmentation and Recognition for Imitation Learning. AISTATS Franziska Meier, Evangelos A. Theodorou, Stefan Schaal
2012	A*	`conf`	Probabilistic depth image registration incorporating nonvisual information. ICRA Manuel Wuthrich, Peter Pastor, Ludovic Righetti, Aude Billard, Stefan Schaal
2012	—	`conf`	Quadratic programming for inverse dynamics with optimal distribution of contact forces. Humanoids Ludovic Righetti, Stefan Schaal
2012	J	`jnl`	Reinforcement Learning With Sequences of Motion Primitives for Robust Manipulation. IEEE Trans. Robotics Freek Stulp, Evangelos A. Theodorou, Stefan Schaal
2012	A*	`conf`	Template-based learning of grasp selection. ICRA Alexander Herzog, Peter Pastor, Mrinal Kalakrishnan, Ludovic Righetti, Tamim Asfour, Stefan Schaal
2012	—	`conf`	Towards Associative Skill Memories. Humanoids Peter Pastor, Mrinal Kalakrishnan, Ludovic Righetti, Stefan Schaal
2011	J	`jnl`	Bayesian robot system identification with input and output noise. Neural Networks Jo-Anne Ting, Aaron D'Souza, Stefan Schaal
2011	—	`conf`	Control of legged robots with optimal distribution of contact forces. Humanoids Ludovic Righetti, Jonas Buchli, Michael N. Mistry, Stefan Schaal
2011	—	`conf`	Hierarchical reinforcement learning with movement primitives. Humanoids Freek Stulp, Stefan Schaal
2011	A*	`conf`	Inverse dynamics control of floating-base robots with external constraints: A unified view. ICRA Ludovic Righetti, Jonas Buchli, Michael N. Mistry, Stefan Schaal
2011	A	`conf`	Learning force control policies for compliant manipulation. IROS Mrinal Kalakrishnan, Ludovic Righetti, Peter Pastor, Stefan Schaal
2011	A	`conf`	Learning motion primitive goals for robust manipulation. IROS Freek Stulp, Evangelos A. Theodorou, Mrinal Kalakrishnan, Peter Pastor, Ludovic Righetti, Stefan Schaal
2011	A*	`conf`	Learning to grasp under uncertainty. ICRA Freek Stulp, Evangelos A. Theodorou, Jonas Buchli, Stefan Schaal
2011	J	`jnl`	Learning variable impedance control. Int. J. Robotics Res. Jonas Buchli, Freek Stulp, Evangelos A. Theodorou, Stefan Schaal
2011	J	`jnl`	Learning, planning, and control for quadruped locomotion over challenging terrain. Int. J. Robotics Res. Mrinal Kalakrishnan, Jonas Buchli, Peter Pastor, Michael N. Mistry, Stefan Schaal
2011	A	`conf`	Movement segmentation using a primitive library. IROS Franziska Meier, Evangelos A. Theodorou, Freek Stulp, Stefan Schaal
2011	A	`conf`	Online movement adaptation based on previous sensor experiences. IROS Peter Pastor, Ludovic Righetti, Mrinal Kalakrishnan, Stefan Schaal
2011	—	`conf`	Path integral control and bounded rationality. ADPRL Daniel A. Braun, Pedro A. Ortega, Evangelos A. Theodorou, Stefan Schaal
2011	—	`conf`	Reinforcement learning of impedance control in stochastic force fields. ICDL-EPIROB Freek Stulp, Jonas Buchli, Alice Ellmer, Michael N. Mistry, Evangelos A. Theodorou, Stefan Schaal
2011	A*	`conf`	STOMP: Stochastic trajectory optimization for motion planning. ICRA Mrinal Kalakrishnan, Sachin Chitta, Evangelos A. Theodorou, Peter Pastor, Stefan Schaal
2011	A*	`conf`	Skill learning and task outcome prediction for manipulation. ICRA Peter Pastor, Mrinal Kalakrishnan, Sachin Chitta, Evangelos A. Theodorou, Stefan Schaal
2010	J	`jnl`	A Generalized Path Integral Control Approach to Reinforcement Learning. J. Mach. Learn. Res. Evangelos A. Theodorou, Jonas Buchli, Stefan Schaal
2010	J	`jnl`	Algorithmen zum Automatischen Erlernen von Motorfähigkeiten (Policy Learning Algorithms for Motor Skills). Autom. Jan Peters, Jens Kober, Stefan Schaal
2010	—	`conf`	Constrained accelerations for controlled geometric reduction: Sagittal-plane decoupling for bipedal locomotion. Humanoids Robert D. Gregg, Ludovic Righetti, Jonas Buchli, Stefan Schaal
2010	J	`jnl`	Efficient Learning and Feature Selection in High-Dimensional Regression. Neural Comput. Jo-Anne Ting, Aaron D'Souza, Sethu Vijayakumar, Stefan Schaal
2010	A*	`conf`	Fast, robust quadruped locomotion over challenging terrain. ICRA Mrinal Kalakrishnan, Jonas Buchli, Peter Pastor, Michael N. Mistry, Stefan Schaal
2010	A*	`conf`	Inverse dynamics control of floating base systems using orthogonal decomposition. ICRA Michael N. Mistry, Jonas Buchli, Stefan Schaal
2010	J	`jnl`	Learning Control in Robotics. IEEE Robotics Autom. Mag. Stefan Schaal, Christopher G. Atkeson
2010	A	`conf`	Learning Policy Improvements with Path Integrals. AISTATS Evangelos A. Theodorou, Jonas Buchli, Stefan Schaal
2010	—	`ch.`	Locally Weighted Regression for Control. Encyclopedia of Machine Learning Jo-Anne Ting, Sethu Vijayakumar, Stefan Schaal
2010	—	`conf`	Reinforcement learning of full-body humanoid motor skills. Humanoids Freek Stulp, Jonas Buchli, Evangelos A. Theodorou, Stefan Schaal
2010	A*	`conf`	Reinforcement learning of motor skills in high dimensions: A path integral approach. ICRA Evangelos A. Theodorou, Jonas Buchli, Stefan Schaal
2010	—	`conf`	Variable Impedance Control - A Reinforcement Learning Approach. Robotics: Science and Systems Jonas Buchli, Evangelos A. Theodorou, Freek Stulp, Stefan Schaal
2009	A*	`conf`	Biologically-inspired dynamical systems for movement generation: Automatic real-time goal adaptation and obstacle avoidance. ICRA Heiko Hoffmann, Peter Pastor, Dae-Hyung Park, Stefan Schaal
2009	—	`conf`	Compact models of motor primitive variations for predictable reaching and obstacle avoidance. Humanoids Freek Stulp, Erhan Öztop, Peter Pastor, Michael Beetz, Stefan Schaal
2009	A	`conf`	Compliant quadruped locomotion over rough terrain. IROS Jonas Buchli, Mrinal Kalakrishnan, Michael N. Mistry, Peter Pastor, Stefan Schaal
2009	—	`conf`	Inertial parameter estimation of floating base humanoid systems using partial force sensing. Humanoids Michael N. Mistry, Stefan Schaal, Katsu Yamane
2009	A*	`conf`	Learning and generalization of motor skills by learning from demonstration. ICRA Peter Pastor, Heiko Hoffmann, Tamim Asfour, Stefan Schaal
2009	A	`conf`	Learning locomotion over rough terrain using terrain templates. IROS Mrinal Kalakrishnan, Jonas Buchli, Peter Pastor, Stefan Schaal
2009	J	`jnl`	Local Dimensionality Reduction for Non-Parametric Regression. Neural Process. Lett. Heiko Hoffmann, Stefan Schaal, Sethu Vijayakumar
2009	J	`jnl`	On-line learning and modulation of periodic movements with nonlinear dynamical systems. Auton. Robots Andrej Gams, Auke Jan Ijspeert, Stefan Schaal, Jadran Lenarcic
2009	—	`conf`	Path integral-based stochastic optimal control for rigid body dynamics. ADPRL Evangelos A. Theodorou, Jonas Buchli, Stefan Schaal
2008	A*	`conf`	A Bayesian approach to empirical local linearization for robotics. ICRA Jo-Anne Ting, Aaron D'Souza, Sethu Vijayakumar, Stefan Schaal
2008	J	`jnl`	A Library for Locally Weighted Projection Regression. J. Mach. Learn. Res. Stefan Klanke, Sethu Vijayakumar, Stefan Schaal
2008	J	`jnl`	A unifying framework for robot control with redundant DOFs. Auton. Robots Jan Peters, Michael N. Mistry, Firdaus E. Udwadia, Jun Nakanishi, Stefan Schaal
2008	—	`conf`	Bayesian Kernel Shaping for Learning Control. NIPS Jo-Anne Ting, Mrinal Kalakrishnan, Sethu Vijayakumar, Stefan Schaal
2008	A*	`conf`	CB: Exploring neuroscience with a humanoid research platform. ICRA Gordon Cheng, Sang-Ho Hyon, Ales Ude, Jun Morimoto, Joshua G. Hale, Joseph Hart, Jun Nakanishi, Darrin C. Bentivegna, Jessica K. Hodgins, Christopher G. Atkeson, Michael N. Mistry, Stefan Schaal, Mitsuo Kawato
2008	J	`jnl`	Editorial: Special Issue on Machine Learning in Robotics. Int. J. Robotics Res. J. Andrew Bagnell, Stefan Schaal
2008	—	`conf`	Inverse kinematics with floating base and constraints for full body humanoid robot control. Humanoids Michael N. Mistry, Jun Nakanishi, Gordon Cheng, Stefan Schaal
2008	J	`jnl`	Learning to Control in Operational Space. Int. J. Robotics Res. Jan Peters, Stefan Schaal
2008	—	`conf`	Movement reproduction and obstacle avoidance with dynamic movement primitives and potential fields. Humanoids Dae-Hyung Park, Heiko Hoffmann, Peter Pastor, Stefan Schaal
2008	J	`jnl`	Natural Actor-Critic. Neurocomputing Jan Peters, Stefan Schaal
2008	J	`jnl`	Operational Space Control: A Theoretical and Empirical Comparison. Int. J. Robotics Res. Jun Nakanishi, Rick Cory, Michael N. Mistry, Jan Peters, Stefan Schaal
2008	J	`jnl`	Reinforcement learning of motor skills with policy gradients. Neural Networks Jan Peters, Stefan Schaal
2008	—	`ch.`	Robot Programming by Demonstration. Springer Handbook of Robotics Aude Billard, Sylvain Calinon, Rüdiger Dillmann, Stefan Schaal
2008	J	`jnl`	Special issue on robotics and neuroscience. Neural Networks Stefan Schaal, Yoshihiko Nakamura, Paolo Dario
2008	J	`jnl`	Variational Bayesian least squares: An application to brain-machine interface data. Neural Networks Jo-Anne Ting, Aaron D'Souza, Kenji Yamamoto, Toshinori Yoshioka, Donna L. Hoffman, Shinji Kakei, Lauren Sergio, John Kalaska, Mitsuo Kawato, Peter Strick, Stefan Schaal
2007	A	`conf`	A Kalman filter for robust outlier detection. IROS Jo-Anne Ting, Evangelos A. Theodorou, Stefan Schaal
2007	A*	`conf`	A Robust Quadruped Walking Gait for Traversing Rough Terrain. ICRA Dimitris Pongas, Michael N. Mistry, Stefan Schaal
2007	B	`conf`	Applying the Episodic Natural Actor-Critic Architecture to Motor Primitive Learning. ESANN Jan Peters, Stefan Schaal
2007	A*	`conf`	Automatic Outlier Detection: A Bayesian Approach. ICRA Jo-Anne Ting, Aaron D'Souza, Stefan Schaal
2007	A*	`conf`	Inverse Dynamics Control with Floating Base and Constraints. ICRA Jun Nakanishi, Michael N. Mistry, Stefan Schaal
2007	A*	`conf`	Kernel Carpentry for Online Regression Using Randomly Varying Coefficient Model. IJCAI Narayanan Unny Edakunni, Stefan Schaal, Sethu Vijayakumar
2007	—	`conf`	Learning an Outlier-Robust Kalman Filter. ECML Jo-Anne Ting, Evangelos A. Theodorou, Stefan Schaal
2007	—	`conf`	Policy Learning for Motor Skills. ICONIP (2) Jan Peters, Stefan Schaal
2007	A*	`conf`	Reinforcement Learning for Operational Space Control. ICRA Jan Peters, Stefan Schaal
2007	A*	`conf`	Reinforcement learning by reward-weighted regression for operational space control. ICML Jan Peters, Stefan Schaal
2007	—	`ed.`	Robotics: Science and Systems II, August 16-19, 2006. University of Pennsylvania, Philadelphia, Pennsylvania, USA Robotics: Science and Systems Gaurav S. Sukhatme, Stefan Schaal, Wolfram Burgard, Dieter Fox
2007	A	`conf`	Task space control with prioritization for balance and locomotion. IROS Michael N. Mistry, Jun Nakanishi, Stefan Schaal
2007	—	`conf`	Towards Machine Learning of Motor Skills. AMS Jan Peters, Stefan Schaal, Bernhard Schölkopf
2007	A	`conf`	Towards compliant humanoids-an experimental assessment of suitable task space position/orientation controllers. IROS Jun Nakanishi, Michael N. Mistry, Jan Peters, Stefan Schaal
2006	—	`conf`	A Bayesian Approach to Nonlinear Parameter Identification for Rigid Body Dynamics. Robotics: Science and Systems Jo-Anne Ting, Michael N. Mistry, Jan Peters, Stefan Schaal, Jun Nakanishi
2006	A*	`conf`	Bayesian regression with input noise for high dimensional data. ICML Jo-Anne Ting, Aaron D'Souza, Stefan Schaal
2006	—	`conf`	Learning Operational Space Control. Robotics: Science and Systems Jan Peters, Stefan Schaal
2006	A	`conf`	Policy Gradient Methods for Robotics. IROS Jan Peters, Stefan Schaal
2006	B	`conf`	Reinforcement Learning for Parameterized Motor Primitives. IJCNN Jan Peters, Stefan Schaal
2006	J	`jnl`	Special Issue on The Brain Mechanisms of Imitation Learning. Neural Networks Aude Billard, Stefan Schaal
2005	J	`jnl`	A model of smooth pursuit in primates based on learning the target dynamics. Neural Networks Tomohiro Shibata, Hiromitsu Tabata, Stefan Schaal, Mitsuo Kawato
2005	A	`conf`	A unifying methodology for the control of robotic systems. IROS Jan Peters, Michael N. Mistry, Firdaus E. Udwadia, Rick Cory, Jun Nakanishi, Stefan Schaal
2005	A	`conf`	An exoskeleton robot for human arm movement study. IROS Michael N. Mistry, Peyman Mohajerian, Stefan Schaal
2005	A	`conf`	Comparative experiments on task space control with redundancy resolution. IROS Jun Nakanishi, Rick Cory, Michael N. Mistry, Jan Peters, Stefan Schaal
2005	J	`jnl`	Composite adaptive control with locally weighted statistical learning. Neural Networks Jun Nakanishi, Jay A. Farrell, Stefan Schaal
2005	J	`jnl`	Editorial. Int. J. Humanoid Robotics Gordon Cheng, Stefan Schaal, Christopher G. Atkeson
2005	J	`jnl`	Incremental Online Learning in High Dimensions. Neural Comput. Sethu Vijayakumar, Aaron D'Souza, Stefan Schaal
2005	—	`conf`	Natural Actor-Critic. ECML Jan Peters, Sethu Vijayakumar, Stefan Schaal
2005	—	`conf`	Predicting EMG Data from M1 Neurons with Variational Bayesian Least Squares. NIPS Jo-Anne Ting, Aaron D'Souza, Kenji Yamamoto, Toshinori Yoshioka, Donna L. Hoffman, Lauren Sergio, Shinji Kakei, John Kalaska, Mitsuo Kawato, Peter Strick, Stefan Schaal
2005	A	`conf`	Rapid synchronization and accurate phase-locking of rhythmic motor primitives. IROS Dimitris Pongas, Aude Billard, Stefan Schaal
2005	—	`ed.`	Robotics: Science and Systems I, June 8-11, 2005, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA Robotics: Science and Systems Sebastian Thrun, Gaurav S. Sukhatme, Stefan Schaal
2004	—	`conf`	A framework for learning biped locomotion with dynamical movement primitives. Humanoids Jun Nakanishi, Jun Morimoto, Gen Endo, Gordon Cheng, Stefan Schaal, Mitsuo Kawato
2004	A	`conf`	An empirical exploration of phase resetting for robust biped locomotion with dynamical movement primitives. IROS Jun Nakanishi, Jun Morimoto, Gen Endo, Gordon Cheng, Stefan Schaal, Mitsuo Kawato
2004	J	`jnl`	Discovering optimal imitation strategies. Robotics Auton. Syst. Aude Billard, Yann Epars, Sylvain Calinon, Stefan Schaal, Gordon Cheng
2004	J	`jnl`	Feedback error learning and nonlinear adaptive control. Neural Networks Jun Nakanishi, Stefan Schaal
2004	A*	`conf`	Learning Composite Adaptive Control for a Class of Nonlinear Systems. ICRA Jun Nakanishi, Jay A. Farrell, Stefan Schaal
2004	J	`jnl`	Learning from demonstration and adaptation of biped locomotion. Robotics Auton. Syst. Jun Nakanishi, Jun Morimoto, Gen Endo, Gordon Cheng, Stefan Schaal, Mitsuo Kawato
2004	A*	`conf`	The Bayesian backfitting relevance vector machine. ICML Aaron D'Souza, Sethu Vijayakumar, Stefan Schaal
2003	A	`conf`	Discovering imitation strategies through categorization of multi-dimensional data. IROS Aude Billard, Yann Epars, Gordon Cheng, Stefan Schaal
2003	C	`conf`	Learning Movement Primitives. ISRR Stefan Schaal, Jan Peters, Jun Nakanishi, Auke Jan Ijspeert
2002	A	`conf`	A locally weighted learning composite adaptive controller with structure adaptation. IROS Jun Nakanishi, Jay A. Farrell, Stefan Schaal
2002	—	`conf`	Learning Attractor Landscapes for Learning Motor Primitives. NIPS Auke Jan Ijspeert, Jun Nakanishi, Stefan Schaal
2002	A	`conf`	Learning rhythmic movements by demonstration using nonlinear oscillators. IROS Auke Jan Ijspeert, Jun Nakanishi, Stefan Schaal
2002	A*	`conf`	Movement Imitation with Nonlinear Dynamical Systems in Humanoid Robots. ICRA Auke Jan Ijspeert, Jun Nakanishi, Stefan Schaal
2002	J	`jnl`	Scalable Techniques from Nonparametric Statistics for Real Time Robot Learning. Appl. Intell. Stefan Schaal, Christopher G. Atkeson, Sethu Vijayakumar
2002	J	`jnl`	Statistical Learning for Humanoid Robots. Auton. Robots Sethu Vijayakumar, Aaron D'Souza, Tomohiro Shibata, Jörg Conradt, Stefan Schaal
2001	J	`jnl`	Biomimetic Oculomotor Control. Adapt. Behav. Tomohiro Shibata, Sethu Vijayakumar, Jörg Conradt, Stefan Schaal
2001	J	`jnl`	Biomimetic gaze stabilization based on feedback-error-learning with nonparametric regression networks. Neural Networks Tomohiro Shibata, Stefan Schaal
2001	A	`conf`	Biomimetic smooth pursuit based on fast learning of the target dynamics. IROS Tomohiro Shibata, Stefan Schaal
2001	J	`jnl`	Graph matching vs mutual information maximization for object detection. Neural Networks Ladan Shams, Mark J. Brady, Stefan Schaal
2001	A	`conf`	Learning inverse kinematics. IROS Aaron D'Souza, Sethu Vijayakumar, Stefan Schaal
2001	A	`conf`	Overt visual attention for a humanoid robot. IROS Sethu Vijayakumar, Jörg Conradt, Tomohiro Shibata, Stefan Schaal
2001	A	`conf`	Robust learning of arm trajectories through human demonstration. IROS Aude Billard, Stefan Schaal
2001	A	`conf`	Trajectory formation for imitation with nonlinear dynamical systems. IROS Auke Jan Ijspeert, Jun Nakanishi, Stefan Schaal
2000	A*	`conf`	Fast Learning of Biomimetic Oculomotor Control with Nonparametric Regression Networks. ICRA Tomohiro Shibata, Stefan Schaal
2000	A*	`conf`	Fast and Efficient Incremental Learning for High-Dimensional Movement Systems. ICRA Sethu Vijayakumar, Stefan Schaal
2000	J	`jnl`	Humanoid robot for brain research. Adv. Robotics Shinya Kotosaka, Stefan Schaal, Tomohiro Shibata
2000	A*	`conf`	Inverse Kinematics for Humanoid Robots. ICRA Gaurav Tevatia, Stefan Schaal
2000	A*	`conf`	Locally Weighted Projection Regression: Incremental Real Time Learning in High Dimensional Space. ICML Sethu Vijayakumar, Stefan Schaal
2000	A*	`conf`	On-line Learning for Humanoid Robot Systems. ICML Jörg Conradt, Gaurav Tevatia, Sethu Vijayakumar, Stefan Schaal
2000	A*	`conf`	Real-Time Robot Learning with Locally Weighted Statistical Learning. ICRA Stefan Schaal, Christopher G. Atkeson, Sethu Vijayakumar
2000	J	`jnl`	Using Humanoid Robots to Study Human Behavior. IEEE Intell. Syst. Christopher G. Atkeson, Joshua G. Hale, Frank E. Pollick, Marcia Riley, Shinya Kotosaka, Stefan Schaal, Tomohiro Shibata, Gaurav Tevatia, Ales Ude, Sethu Vijayakumar, Mitsuo Kawato
1998	J	`jnl`	Constructive Incremental Learning from Only Local Information. Neural Comput. Stefan Schaal, Christopher G. Atkeson
1998	J	`jnl`	Local Adaptive Subspace Regression. Neural Process. Lett. Sethu Vijayakumar, Stefan Schaal
1998	J	`jnl`	Robot gaze stabilization based on mimesis of oculomotor dynamics and vestibulocerebellar learning. Adv. Robotics Tomohiro Shibata, Stefan Schaal
1998	A	`conf`	Toward biomimetic oculomotor control. IROS Tomohiro Shibata, Stefan Schaal
1997	A*	`conf`	Learning tasks from a single demonstration. ICRA Christopher G. Atkeson, Stefan Schaal
1997	—	`conf`	Local Dimensionality Reduction. NIPS Stefan Schaal, Sethu Vijayakumar, Christopher G. Atkeson
1997	—	`conf`	Local dimensionality reduction for locally weighted learning. CIRA Sethu Vijayakumar, Stefan Schaal
1997	J	`jnl`	Locally Weighted Learning for Control. Artif. Intell. Rev. Christopher G. Atkeson, Andrew W. Moore, Stefan Schaal
1997	J	`jnl`	Locally Weighted Learning. Artif. Intell. Rev. Christopher G. Atkeson, Andrew W. Moore, Stefan Schaal
1997	A*	`conf`	Robot Learning From Demonstration. ICML Christopher G. Atkeson, Stefan Schaal
1996	J	`jnl`	A Kendama Learning Robot Based on Bi-directional Theory. Neural Networks Hiroyuki Miyamoto, Stefan Schaal, Francesca Gandolfo, Hiroaki Gomi, Yasuharu Koike, Rieko Osu, Eri Nakano, Yasuhiro Wada, Mitsuo Kawato
1996	—	`conf`	Learning from Demonstration. NIPS Stefan Schaal
1995	—	`conf`	From Isolation to Cooperation: An Alternative View of a System of Experts. NIPS Stefan Schaal, Christopher G. Atkeson
1995	J	`jnl`	Memory-based neural networks for robot learning. Neurocomputing Christopher G. Atkeson, Stefan Schaal
1994	A*	`conf`	Memory-Based Robot Learning. ICRA Stefan Schaal, Christopher G. Atkeson
1994	—	`conf`	Robot Learning By Nonparametric Regression. IROS (Selected Papers) Stefan Schaal, Christopher G. Atkeson
1994	A	`conf`	Robot learning by nonparametric regression. IROS Stefan Schaal, Christopher G. Atkeson
1993	—	`conf`	Assessing the Quality of Learned Local Models. NIPS Stefan Schaal, Christopher G. Atkeson
1993	—	`conf`	Open Loop Stable Control Strategies for Robot Juggling. ICRA (3) Stefan Schaal, Christopher G. Atkeson
1992	—	`—`	Integrierte Wissensverarbeitung mit CAD am Beispiel der konstruktionsbegleitenden Kalkulation. Stefan Schaal