Stefan Schaal

Google (United States) — United States

Engineering · Physical Sciences

73h-index21.5kcitations318works17.12yr avg
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Research Topics

Robot Manipulation and Learning(144), Reinforcement Learning in Robotics(82), Robotic Locomotion and Control(61), Gaussian Processes and Bayesian Inference(33), Control Systems and Identification(26)

Publications316 total

RoboBallet: Planning for multirobot reaching with graph neural networks and reinforcement learning
Science Robotics·2025· 3 citedOpen Access
Efficient Online Learning of Contact Force Models for Connector Insertion
2025· 1 cited
GenCHiP: Generating Robot Policy Code for High-Precision and Contact-Rich Manipulation Tasks
2024· 5 cited
A Comparison of Imitation Learning Algorithms for Bimanual Manipulation
IEEE Robotics and Automation Letters·2024· 14 cited
A Comparison of Imitation Learning Algorithms for Bimanual Manipulation
arXiv (Cornell University)·2024Open Access
SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning
2024· 26 cited
GenCHiP: Generating Robot Policy Code for High-Precision and Contact-Rich Manipulation Tasks
arXiv (Cornell University)·2024Open Access
RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches
arXiv (Cornell University)·2024· 1 citedOpen Access
SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning
arXiv (Cornell University)·2024Open Access
Multistage Cable Routing Through Hierarchical Imitation Learning
IEEE Transactions on Robotics·2024· 40 cited
Efficient Online Learning of Contact Force Models for Connector Insertion
arXiv (Cornell University)·2023Open Access
Multi-Stage Cable Routing through Hierarchical Imitation Learning
arXiv (Cornell University)·2023· 1 citedOpen Access
Zero-Shot Policy Transfer with Disentangled Task Representation of Meta-Reinforcement Learning
2023· 7 cited
Prim-LAfD: A Framework to Learn and Adapt Primitive-Based Skills from Demonstrations for Insertion Tasks
IFAC-PapersOnLine·2023· 11 citedOpen Access
Prim-LAfD: A Framework to Learn and Adapt Primitive-Based Skills from Demonstrations for Insertion Tasks
arXiv (Cornell University)·2022Open Access
Supervised learning and reinforcement learning of feedback models for reactive behaviors: Tactile feedback testbed
The International Journal of Robotics Research·2022· 1 citedOpen Access
A System for Imitation Learning of Contact-Rich Bimanual Manipulation Policies
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)·2022· 17 cited
Efficient Spatial Representation and Routing of Deformable One-Dimensional Objects for Manipulation
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)·2022· 8 cited
Zero-Shot Policy Transfer with Disentangled Task Representation of Meta-Reinforcement Learning
arXiv (Cornell University)·2022Open Access
A System for Imitation Learning of Contact-Rich Bimanual Manipulation Policies
arXiv (Cornell University)·2022· 1 citedOpen Access
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Frequent Co-authors

Jan Peters(9), Christopher G. Atkeson(8), Peter Pástor(8), Mrinal Kalakrishnan(8), Sethu Vijayakumar(6), Evangelos A. Theodorou(6), Jonas Buchli(5), Ludovic Righetti(5), Andrew Moore(4), Auke Jan Ijspeert(4), Jun Nakanishi(4), Michael Mistry(4), Yevgen Chebotar(3), Jeannette Bohg(3), Aude Billard(2), Sylvain Calinon(2), H. Hoffmann(2), Tamim Asfour(2), Sergey Levine(2), Jun Nakanishi(2)