Leonel Rozo

1.8k total citations
35 papers, 1.3k citations indexed

About

Leonel Rozo is a scholar working on Control and Systems Engineering, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Leonel Rozo has authored 35 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Control and Systems Engineering, 11 papers in Biomedical Engineering and 10 papers in Artificial Intelligence. Recurrent topics in Leonel Rozo's work include Robot Manipulation and Learning (32 papers), Robotic Mechanisms and Dynamics (12 papers) and Reinforcement Learning in Robotics (8 papers). Leonel Rozo is often cited by papers focused on Robot Manipulation and Learning (32 papers), Robotic Mechanisms and Dynamics (12 papers) and Reinforcement Learning in Robotics (8 papers). Leonel Rozo collaborates with scholars based in Italy, Germany and Switzerland. Leonel Rozo's co-authors include Darwin G. Caldwell, Sylvain Calinon, Pablo Jiménez, Carme Torras, João Silvério, Yanlong Huang, Fares J. Abu‐Dakka, Danilo Bruno, Luka Peternel and Arash Ajoudani and has published in prestigious journals such as The International Journal of Robotics Research, IEEE Transactions on Robotics and Robotics and Autonomous Systems.

In The Last Decade

Leonel Rozo

33 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leonel Rozo Italy 19 1.0k 467 318 282 234 35 1.3k
Andrej Gams Slovenia 21 1.2k 1.1× 892 1.9× 366 1.2× 277 1.0× 268 1.1× 73 1.6k
F. Guenter Switzerland 11 1.1k 1.1× 399 0.9× 546 1.7× 189 0.7× 386 1.6× 13 1.4k
Guilherme Maeda Germany 17 665 0.6× 237 0.5× 246 0.8× 220 0.8× 188 0.8× 46 914
Clemens Eppner Germany 16 715 0.7× 397 0.9× 181 0.6× 194 0.7× 330 1.4× 25 974
Steffen Knoop Germany 12 836 0.8× 366 0.8× 223 0.7× 146 0.5× 443 1.9× 27 1.1k
Yiannis Karayiannidis Sweden 17 1.3k 1.2× 555 1.2× 131 0.4× 454 1.6× 244 1.0× 81 1.5k
Pablo Jiménez Spain 9 552 0.5× 238 0.5× 138 0.4× 205 0.7× 335 1.4× 12 967
Antonio Morales Spain 19 814 0.8× 514 1.1× 152 0.5× 137 0.5× 208 0.9× 58 1.0k
Aaron Walsman United States 5 799 0.8× 450 1.0× 188 0.6× 144 0.5× 439 1.9× 8 1.1k
Kazuyuki Nagata Japan 18 712 0.7× 368 0.8× 75 0.2× 186 0.7× 196 0.8× 100 890

Countries citing papers authored by Leonel Rozo

Since Specialization
Citations

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

Fields of papers citing papers by Leonel Rozo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonel Rozo

This figure shows the co-authorship network connecting the top 25 collaborators of Leonel Rozo. A scholar is included among the top collaborators of Leonel Rozo 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 Leonel Rozo. Leonel Rozo 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.
Peters, Jan, et al.. (2025). Fast and Robust Visuomotor Riemannian Flow Matching Policy. IEEE Transactions on Robotics. 41. 5327–5343.
2.
3.
Rozo, Leonel, et al.. (2024). Riemannian Flow Matching Policy for Robot Motion Learning. 5144–5151. 5 indexed citations
4.
Rozo, Leonel, Philipp Schillinger, Meng Guo, et al.. (2023). The e-Bike motor assembly: Towards advanced robotic manipulation for flexible manufacturing. Robotics and Computer-Integrated Manufacturing. 85. 102637–102637. 5 indexed citations
5.
Schillinger, Philipp, et al.. (2022). Optimizing Demonstrated Robot Manipulation Skills for Temporal Logic Constraints. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 133. 1255–1262. 4 indexed citations
6.
Guo, Meng, et al.. (2021). Learning Forceful Manipulation Skills from Multi-modal Human Demonstrations. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 7770–7777. 15 indexed citations
7.
Pozzi, María, Virginia Ruiz Garate, Arash Ajoudani, et al.. (2021). Emerging Paradigms for Robotic Manipulation: From the Lab to the Productive World [From the Guest Editors]. IEEE Robotics & Automation Magazine. 28(2). 10–12. 3 indexed citations
8.
Huang, Yanlong, Leonel Rozo, João Silvério, & Darwin G. Caldwell. (2019). Non-parametric Imitation Learning of Robot Motor Skills. 6 indexed citations
9.
Abu‐Dakka, Fares J., Leonel Rozo, & Darwin G. Caldwell. (2018). Force-based variable impedance learning for robotic manipulation. Robotics and Autonomous Systems. 109. 156–167. 84 indexed citations
10.
Huang, Yanlong, João Silvério, Leonel Rozo, & Darwin G. Caldwell. (2018). Hybrid Probabilistic Trajectory Optimization Using Null-Space Exploration. 7226–7232. 11 indexed citations
11.
Silvério, João, Yanlong Huang, Leonel Rozo, Sylvain Calinon, & Darwin G. Caldwell. (2018). Probabilistic Learning of Torque Controllers from Kinematic and Force Constraints. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1–8. 24 indexed citations
12.
Rozo, Leonel, et al.. (2018). Learning Deep Robot Controllers by Exploiting Successful and Failed Executions. 2. 1–9. 1 indexed citations
13.
Rozo, Leonel, et al.. (2018). Geometry-aware Robot Manipulability Transfer. Infoscience (Ecole Polytechnique Fédérale de Lausanne).
14.
Silvério, João, Yanlong Huang, Leonel Rozo, & Darwin G. Caldwell. (2018). An Uncertainty-Aware Minimal Intervention Control Strategy Learned from Demonstrations. 6065–6071. 7 indexed citations
15.
Rozo, Leonel, Heni Ben Amor, Sylvain Calinon, Anca D. Dragan, & Dongheui Lee. (2018). Special issue on learning for human–robot collaboration. Autonomous Robots. 42(5). 953–956. 9 indexed citations
16.
Rozo, Leonel, et al.. (2017). Transfer learning of shared latent spaces between robots with similar kinematic structure. 4142–4149. 21 indexed citations
17.
Rozo, Leonel, Sylvain Calinon, Darwin G. Caldwell, Pablo Jiménez, & Carme Torras. (2016). Learning Physical Collaborative Robot Behaviors From Human Demonstrations. IEEE Transactions on Robotics. 32(3). 513–527. 225 indexed citations
18.
Silvério, João, Leonel Rozo, Sylvain Calinon, & Darwin G. Caldwell. (2015). Learning bimanual end-effector poses from demonstrations using task-parameterized dynamical systems. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 464–470. 45 indexed citations
19.
Rozo, Leonel, Danilo Bruno, Sylvain Calinon, & Darwin G. Caldwell. (2015). Learning optimal controllers in human-robot cooperative transportation tasks with position and force constraints. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1024–1030. 74 indexed citations
20.
Rozo, Leonel, Sylvain Calinon, Darwin G. Caldwell, Pablo Jiménez, & Carme Torras. (2013). Learning Collaborative Impedance-Based Robot Behaviors. Proceedings of the AAAI Conference on Artificial Intelligence. 27(1). 1422–1428. 113 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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