Ludovic Righetti

6.0k total citations
113 papers, 3.6k citations indexed

About

Ludovic Righetti is a scholar working on Biomedical Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Ludovic Righetti has authored 113 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Biomedical Engineering, 50 papers in Control and Systems Engineering and 20 papers in Artificial Intelligence. Recurrent topics in Ludovic Righetti's work include Robotic Locomotion and Control (58 papers), Robot Manipulation and Learning (32 papers) and Prosthetics and Rehabilitation Robotics (29 papers). Ludovic Righetti is often cited by papers focused on Robotic Locomotion and Control (58 papers), Robot Manipulation and Learning (32 papers) and Prosthetics and Rehabilitation Robotics (29 papers). Ludovic Righetti collaborates with scholars based in United States, Germany and Switzerland. Ludovic Righetti's co-authors include Auke Jan Ijspeert, Jonas Buchli, Stefan Schaal, Mrinal Kalakrishnan, Peter Pástor, Stefan Schaal, Alexander Herzog, Michael Mistry, Felix Grimminger and Majid Khadiv and has published in prestigious journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Automatic Control and The International Journal of Robotics Research.

In The Last Decade

Ludovic Righetti

105 papers receiving 3.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ludovic Righetti United States 34 2.3k 1.8k 511 444 403 113 3.6k
Jonas Buchli Switzerland 40 3.3k 1.4× 2.5k 1.4× 662 1.3× 909 2.0× 716 1.8× 104 5.6k
Jun Nakanishi Japan 23 1.9k 0.8× 2.4k 1.4× 956 1.9× 482 1.1× 658 1.6× 64 3.5k
Koh Hosoda Japan 32 2.0k 0.9× 1.3k 0.7× 742 1.5× 616 1.4× 721 1.8× 247 4.1k
Michael Gienger Germany 29 1.1k 0.5× 1.5k 0.8× 535 1.0× 248 0.6× 561 1.4× 101 2.3k
Yasuhisa Hasegawa Japan 30 2.7k 1.1× 1.0k 0.6× 283 0.6× 590 1.3× 421 1.0× 402 4.3k
Kei Okada Japan 32 2.4k 1.0× 2.4k 1.4× 330 0.6× 677 1.5× 1.3k 3.2× 407 4.4k
Gill A. Pratt United States 21 3.2k 1.3× 1.6k 0.9× 160 0.3× 586 1.3× 245 0.6× 39 3.9k
Michael Mistry United Kingdom 26 1.8k 0.8× 1.6k 0.9× 200 0.4× 459 1.0× 380 0.9× 80 2.6k
Mrinal Kalakrishnan United States 23 1.2k 0.5× 1.8k 1.0× 852 1.7× 353 0.8× 962 2.4× 38 2.9k
Peter Pástor United States 23 1.8k 0.8× 3.1k 1.7× 1.3k 2.6× 589 1.3× 1.3k 3.2× 30 4.3k

Countries citing papers authored by Ludovic Righetti

Since Specialization
Citations

This map shows the geographic impact of Ludovic Righetti'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 Ludovic Righetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ludovic Righetti more than expected).

Fields of papers citing papers by Ludovic Righetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ludovic Righetti. 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 Ludovic Righetti. The network helps show where Ludovic Righetti may publish in the future.

Co-authorship network of co-authors of Ludovic Righetti

This figure shows the co-authorship network connecting the top 25 collaborators of Ludovic Righetti. A scholar is included among the top collaborators of Ludovic Righetti 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 Ludovic Righetti. Ludovic Righetti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Carpentier, Justin, et al.. (2024). Force Feedback Model-Predictive Control via Online Estimation. SPIRE - Sciences Po Institutional REpository. 11503–11509. 1 indexed citations
3.
Meduri, Avadesh, et al.. (2024). ContactNet: Online Multi-Contact Planning for Acyclic Legged Robot Locomotion. Institutional Research Information System (Università degli Studi di Trento). 747–754. 2 indexed citations
4.
Escande, Adrien, et al.. (2023). $$\mathcal {N}$$IPM-HLSP: an efficient interior-point method for hierarchical least-squares programs. Optimization and Engineering. 25(2). 759–794. 2 indexed citations
5.
Khadiv, Majid, et al.. (2022). Robust Walking Based on MPC With Viability Guarantees. Institutional Research Information System (Università degli Studi di Trento). 21 indexed citations
6.
Duriez, Christian, Gregory D. Hager, David K. Han, et al.. (2020). On the use of simulation in robotics: Opportunities, challenges, and suggestions for moving forward. Proceedings of the National Academy of Sciences. 118(1). 87 indexed citations
7.
Lin, Yu-Chi, Ludovic Righetti, & Dmitry Berenson. (2020). Robust Humanoid Contact Planning With Learned Zero- and One-Step Capturability Prediction. IEEE Robotics and Automation Letters. 5(2). 2451–2458. 9 indexed citations
8.
Rai, Akshara, et al.. (2019). Curious iLQR: Resolving Uncertainty in Model-based RL.. 162–171. 5 indexed citations
9.
Lin, Yu-Chi, et al.. (2019). Efficient Humanoid Contact Planning using Learned Centroidal Dynamics Prediction. 5280–5286. 23 indexed citations
10.
Righetti, Ludovic, et al.. (2015). Kinematic and Gait Similarities between Crawling Human Infants and Other Quadruped Mammals. Frontiers in Neurology. 6. 17–17. 31 indexed citations
11.
Herzog, Alexander, Ludovic Righetti, Felix Grimminger, Peter Pástor, & Stefan Schaal. (2013). Experiments with a hierarchical inverse dynamics controller on a torque-controlled humanoid. arXiv (Cornell University). 8 indexed citations
12.
Pástor, Peter, Mrinal Kalakrishnan, Jonathan Binney, et al.. (2013). Learning task error models for manipulation. 2612–2618. 21 indexed citations
13.
Pástor, Peter, Mrinal Kalakrishnan, Ludovic Righetti, & Stefan Schaal. (2012). Towards Associative Skill Memories. 309–315. 77 indexed citations
14.
Kalakrishnan, Mrinal, Ludovic Righetti, Peter Pástor, & Stefan Schaal. (2012). Learning force control policies for compliant robotic manipulation. MPG.PuRe (Max Planck Society). 49–50. 10 indexed citations
15.
Kalakrishnan, Mrinal, Ludovic Righetti, Peter Pástor, & Stefan Schaal. (2011). Learning force control policies for compliant manipulation. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 4639–4644. 103 indexed citations
16.
Metta, Giorgio, Giulio Sandini, David Vernon, et al.. (2006). The RobotCub project -- an open framework for research in embodied cognition. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 19 indexed citations
17.
Buchli, Jonas, Ludovic Righetti, & Auke Jan Ijspeert. (2006). Engineering entrainment and adaptation in limit cycle systems. Biological Cybernetics. 95(6). 645–664. 85 indexed citations
18.
Ijspeert, Auke Jan, et al.. (2005). Institute Presentation: Biologically Inspired Robotics Group at EPFL. International Journal of Advanced Robotic Systems. 2(2). 175–199. 1 indexed citations
19.
Righetti, Ludovic, et al.. (2004). Operating system support for interface virtualisation of reconfigurable coprocessors. Design, Automation, and Test in Europe. 1. 10748. 11 indexed citations
20.
Righetti, Ludovic, et al.. (2004). Operating system support for interface virtualisation of reconfigurable coprocessors. Proceedings Design, Automation and Test in Europe Conference and Exhibition. 748–749. 7 indexed citations

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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