Stefan Schaal

21.5k total citations · 5 hit papers
191 papers, 12.4k citations indexed

About

Stefan Schaal is a scholar working on Control and Systems Engineering, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Stefan Schaal has authored 191 papers receiving a total of 12.4k indexed citations (citations by other indexed papers that have themselves been cited), including 133 papers in Control and Systems Engineering, 91 papers in Artificial Intelligence and 69 papers in Biomedical Engineering. Recurrent topics in Stefan Schaal's work include Robot Manipulation and Learning (99 papers), Reinforcement Learning in Robotics (47 papers) and Robotic Locomotion and Control (43 papers). Stefan Schaal is often cited by papers focused on Robot Manipulation and Learning (99 papers), Reinforcement Learning in Robotics (47 papers) and Robotic Locomotion and Control (43 papers). Stefan Schaal collaborates with scholars based in United States, Germany and Japan. Stefan Schaal's co-authors include Christopher G. Atkeson, Jan Peters, Andrew Moore, Sethu Vijayakumar, Evangelos A. Theodorou, Peter Pástor, Jonas Buchli, Mrinal Kalakrishnan, Jun Nakanishi and Auke Jan Ijspeert and has published in prestigious journals such as Experimental Brain Research, Journal of Experimental Psychology Human Perception & Performance and The International Journal of Robotics Research.

In The Last Decade

Stefan Schaal

187 papers receiving 11.7k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Locally Weighted Learning

1997 1.2k citations Christopher G. Atkeson, Stefan Schaal et al. profile →
Natural Actor-Critic

2008 490 citations Jan Peters, Stefan Schaal profile →
Reinforcement learning of motor skills with policy gradients

2008 487 citations Jan Peters, Stefan Schaal profile →
Learning and generalization of motor skills by learning from demonstration

2009 466 citations Stefan Schaal et al. profile →
Time-Contrastive Networks: Self-Supervised Learning from Video

2018 305 citations Stefan Schaal, Sergey Levine et al. profile →

Peers

Countries citing papers authored by Stefan Schaal

Since Specialization

Citations

This map shows the geographic impact of Stefan Schaal's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Stefan Schaal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Schaal more than expected).

Fields of papers citing papers by Stefan Schaal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stefan Schaal. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Stefan Schaal. The network helps show where Stefan Schaal may publish in the future.

Co-authorship network of co-authors of Stefan Schaal

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Schaal. A scholar is included among the top collaborators of Stefan Schaal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stefan Schaal. Stefan Schaal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	RoboBallet: Planning for multirobot reaching with graph neural networks and reinforcement learning 2025 ·Science Robotics ·Matthew Lai, (unknown), Zhibin Li, (unknown), Stefan Schaal, Kelsey R. Allen, Jonathan Scholz	0
2	Multistage Cable Routing Through Hierarchical Imitation Learning 2024 ·IEEE Transactions on Robotics ·Jianlan Luo, (unknown), Xinyang Geng, (unknown), Kuan Fang, Liam Tan, Stefan Schaal, Sergey Levine	23
3	SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning 2024 ·Jianlan Luo, Zheyuan Hu, (unknown), (unknown), Jacob Berg, Archit Sharma, Stefan Schaal, Chelsea Finn, Abhishek Gupta, Sergey Levine	13
4	Residual Learning from Demonstration. 2020 ·arXiv (Cornell University) ·(unknown), (unknown), Michael Burke, Franziska Meier, Stefan Schaal, Subramanian Ramamoorthy	2
5	Optimizing Long-term Predictions for Model-based Policy Search 2017 ·(unknown), Christian Daniel, Duy Nguyen-Tuong, (unknown), Stefan Schaal, Marc Toussaint, Sebastian Trimpe	14
6	Incremental Local Gaussian Regression 2014 ·MPG.PuRe (Max Planck Society) ·Franziska Meier, Philipp Hennig, Stefan Schaal	26
7	Movement Segmentation and Recognition for Imitation Learning 2012 ·MPG.PuRe (Max Planck Society) ·Franziska Meier, Evangelos A. Theodorou, Stefan Schaal	19
8	Learning Policy Improvements with Path Integrals 2010 ·International Conference on Artificial Intelligence and Statistics ·Evangelos A. Theodorou, Jonas Buchli, Stefan Schaal	33
9	A Generalized Path Integral Control Approach to Reinforcement Learning 2010 ·Journal of Machine Learning Research ·Evangelos A. Theodorou, Jonas Buchli, Stefan Schaal	290
10	Bayesian Kernel Shaping for Learning Control 2008 ·ERA ·Jo-Anne Ting, Mrinal Kalakrishnan, Sethu Vijayakumar, Stefan Schaal	8
11	Kernel carpentry for online regression using randomly varying coefficient model 2007 ·ERA ·(unknown), Stefan Schaal, Sethu Vijayakumar	7
12	Applying the Episodic Natural Actor-Critic Architecture to Motor Primitive Learning 2007 ·MPG.PuRe (Max Planck Society) ·Jan Peters, Stefan Schaal	18
13	Reinforcement Learning for Humanoid Robotics 2003 ·MPG.PuRe (Max Planck Society) ·Jan Peters, Sethu Vijayakumar, Stefan Schaal	171
14	Policy gradient methods for robot control 2003 ·Jan Peters, Sethu Vijayakumar, Stefan Schaal	6
15	Imitation of coordinated arm movements 2002 ·Experimental Brain Research ·Aude Billard, Stefan Schaal, James Gordon	1
16	Real-time statistical learning for robotics and human augmentation 2001 ·Infoscience (Ecole Polytechnique Fédérale de Lausanne) ·Stefan Schaal, Sethu Vijayakumar, Aaron D’Souza, Auke Jan Ijspeert, Jun Nakanishi	3
17	On-line Learning for Humanoid Robot Systems 2000 ·International Conference on Machine Learning ·Jörg Conradt, (unknown), Sethu Vijayakumar, Stefan Schaal	4
18	Local Dimensionality Reduction 1997 ·Edinburgh Research Explorer (University of Edinburgh) ·Stefan Schaal, Sethu Vijayakumar, Christopher G. Atkeson	31
19	Open loop stable strategies for robot juggling 1993 ·International Conference on Robotics and Automation ·Stefan Schaal	6
20	Assessing the Quality of Learned Local Models 1993 ·Neural Information Processing Systems ·Stefan Schaal, Christopher G. Atkeson	32

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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