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Stefan Schaal

Active 1990–2025

289
Papers
36,679
Citations
93
h-index
242
i10-index

Citations

Citations per year for Stefan Schaal1966: 4 citations1981: 2 citations1986: 1 citations1992: 9 citations1993: 27 citations1994: 41 citations1995: 43 citations1996: 56 citations1997: 110 citations1998: 119 citations1999: 103 citations2000: 161 citations2001: 162 citations2002: 187 citations2003: 234 citations2004: 352 citations2005: 319 citations2006: 468 citations2007: 581 citations2008: 612 citations2009: 813 citations2010: 808 citations2011: 893 citations2012: 972 citations2013: 1,034 citations2014: 1,124 citations2015: 1,197 citations2016: 1,241 citations2017: 1,383 citations2018: 1,610 citations2019: 1,879 citations2020: 1,788 citations2021: 1,730 citations2022: 1,293 citations2023: 1,237 citations2024: 1,160 citations2025: 946 citations2026: 182 citations1967–1980: no citations, so these years are not shown1982–1985: no citations, so these years are not shown1987–1991: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 4,759 citing papers, 24.5% of this breakdownGermany: 2,170 citing papers, 11.1% of this breakdownChina: 2,013 citing papers, 10.3% of this breakdownUnited Kingdom: 1,394 citing papers, 7.2% of this breakdownJapan: 1,258 citing papers, 6.5% of this breakdownItaly: 974 citing papers, 5% of this breakdownFrance: 746 citing papers, 3.8% of this breakdownSwitzerland: 636 citing papers, 3.3% of this breakdownCanada: 557 citing papers, 2.9% of this breakdownSouth Korea: 391 citing papers, 2% of this breakdownSpain: 366 citing papers, 1.9% of this breakdownNetherlands: 307 citing papers, 1.6% of this breakdown
0%24.5%Other 19.9%

Institutions

Fields

  • Engineering46.9%
  • Computer Science35.9%
  • Neuroscience5.2%
  • Psychology2.9%
  • Immunology and Microbiology1.8%
  • Medicine1.7%
  • Other5.6%

Topics

  • Robot Manipulation and Learning12.5%
  • Reinforcement Learning in Robotics7.6%
  • Robotic Locomotion and Control4.6%
  • Robotic Path Planning Algorithms3.5%
  • Prosthetics and Rehabilitation Robotics2.8%
  • Robotic Mechanisms and Dynamics2.6%
  • Other66.4%

Coauthors

All papers

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  1. Dynamical Movement Primitives: Learning Attractor Models for Motor Behaviors

    Authors: Auke Jan Ijspeert, Jun Nakanishi, Heiko Hoffmann, Peter Pastor, Stefan Schaal - Neural Computation, Neural Comput. 2012 cited by 1,574

  2. STOMP: Stochastic trajectory optimization for motion planning

    Authors: Mrinal Kalakrishnan, Sachin Chitta, Evangelos A. Theodorou, Peter Pastor, Stefan Schaal - IEEE International Conference on Robotics and Automation, ICRA 2011 cited by 881

  3. Robot Programming by Demonstration

    Authors: Aude Billard, Sylvain Calinon, Rüdiger Dillmann, Stefan Schaal - Springer Handbook of Robotics 2008 cited by 985

  4. Is imitation learning the route to humanoid robots?

    Authors: Stefan Schaal, Stefan Schaal - Trends in Cognitive Sciences 1999 cited by 1,327

  5. You Only Demonstrate Once: Category-Level Manipulation from Single Visual Demonstration

    Authors: Bowen Wen, Wenzhao Lian, Kostas E. Bekris, Stefan Schaal - Robotics: Science and Systems XVIII 2022 cited by 85

  6. Dynamic Movement Primitives -A Framework for Motor Control in Humans and Humanoid Robotics

    Authors: Stefan Schaal - Adaptive Motion of Animals and Machines 2006 cited by 602

  7. Interactive Perception: Leveraging Action in Perception and Perception in Action

    Authors: Jeannette Bohg, Karol Hausman, Bharath Sankaran, Oliver Brock, Danica Kragic, Stefan Schaal, Gaurav S. Sukhatme - IEEE Transactions on Robotics, IEEE Trans. Robotics 2017 cited by 256

  8. Learning and generalization of motor skills by learning from demonstration

    Authors: Peter Pastor, Heiko Hoffmann, Tamim Asfour, Stefan Schaal - IEEE International Conference on Robotics and Automation, ICRA 2009 cited by 710

  9. Movement Imitation with Nonlinear Dynamical Systems in Humanoid Robots

    Authors: Auke Jan Ijspeert, Jun Nakanishi, Stefan Schaal - Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292), ICRA 2002 cited by 842

  10. Natural Actor-Critic

    Authors: Jan Peters, Stefan Schaal - Neurocomputing 2008 cited by 751

  11. CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation

    Authors: Bowen Wen, Wenzhao Lian, Kostas E. Bekris, Stefan Schaal - International Conference on Robotics and Automation (ICRA) 2022 cited by 84

  12. From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence

    Authors: 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 - arXiv (Cornell University), CoRR 2021 cited by 61

  13. Leveraging big data for grasp planning

    Authors: Daniel Kappler, Jeannette Bohg, Stefan Schaal - IEEE International Conference on Robotics and Automation (ICRA) 2015 cited by 284

  14. Reinforcement learning of motor skills with policy gradients

    Authors: Jan Peters, Stefan Schaal - Neural Networks 2008 cited by 864

  15. Offline Meta-Reinforcement Learning for Industrial Insertion

    Authors: Tony Z. Zhao, Jianlan Luo, Oleg Sushkov, Rugile Pevceviciute, Nicolas Heess, Jon Scholz, Stefan Schaal, Sergey Levine - International Conference on Robotics and Automation (ICRA) 2022 cited by 66

  16. Multistage Cable Routing Through Hierarchical Imitation Learning

    Authors: Jianlan Luo, Charles Xu, Xinyang Geng, Gilbert Feng, Kuan Fang, Liam Tan, Stefan Schaal, Sergey Levine - IEEE Transactions on Robotics, IEEE Trans. Robotics 2024 cited by 47

  17. Reinforcement learning by reward-weighted regression for operational space control

    Authors: Jan Peters, Stefan Schaal - conference on Machine learning, ICML 2007 cited by 184

  18. Learning variable impedance control

    Authors: Jonas Buchli, Freek Stulp, Evangelos A. Theodorou, Stefan Schaal - The International Journal of Robotics Research, Int. J. Robotics Res. 2011 cited by 329

  19. SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning

    Authors: Jianlan Luo, Zheyuan Hu, Charles Xu, You Liang Tan, Jacob Berg, Archit Sharma, Stefan Schaal, Chelsea Finn, Abhishek Gupta, Sergey Levine - IEEE International Conference on Robotics and Automation (ICRA) 2024 cited by 33

  20. Time-Contrastive Networks: Self-Supervised Learning from Multi-View Observation

    Authors: Pierre Sermanet, Corey Lynch, Yevgen Chebotar, Jasmine Hsu, Eric Jang, Stefan Schaal, Sergey Levine, Google Brain - IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), ICRA 2017 cited by 555

  21. Real-Time Perception Meets Reactive Motion Generation

    Authors: Daniel Kappler, Franziska Meier, Jan Issac, Jim Mainprice, Cristina Garcia Cifuentes, Manuel Wuthrich, Vincent Berenz, Stefan Schaal, Nathan D. Ratliff, Jeannette Bohg - IEEE Robotics and Automation Letters, IEEE Robotics Autom. Lett. 2018 cited by 107

  22. Biologically-inspired dynamical systems for movement generation: Automatic real-time goal adaptation and obstacle avoidance

    Authors: Heiko Hoffmann, Peter Pastor, Dae-Hyung Park, Stefan Schaal - IEEE International Conference on Robotics and Automation, ICRA 2009 cited by 282

  23. Reinforcement Learning With Sequences of Motion Primitives for Robust Manipulation

    Authors: Freek Stulp, Evangelos A. Theodorou, Stefan Schaal - IEEE Transactions on Robotics, IEEE Trans. Robotics 2012 cited by 212

  24. Movement reproduction and obstacle avoidance with dynamic movement primitives and potential fields

    Authors: Dae-Hyung Park, Heiko Hoffmann, Peter Pastor, Stefan Schaal - Humanoids 2008 - 8th IEEE-RAS International Conference on Humanoid Robots 2008 cited by 260