Adrià Colomé

726 total citations
32 papers, 449 citations indexed

About

Adrià Colomé is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Adrià Colomé has authored 32 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Control and Systems Engineering, 13 papers in Artificial Intelligence and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Adrià Colomé's work include Robot Manipulation and Learning (17 papers), Robotic Mechanisms and Dynamics (11 papers) and Reinforcement Learning in Robotics (10 papers). Adrià Colomé is often cited by papers focused on Robot Manipulation and Learning (17 papers), Robotic Mechanisms and Dynamics (11 papers) and Reinforcement Learning in Robotics (10 papers). Adrià Colomé collaborates with scholars based in Spain, Italy and Germany. Adrià Colomé's co-authors include Carme Torras, Guillem Alenyà, Diego Pardo, Babette Dellen, Jan Peters, Gerhard Neumann, Aleksandar Jevtić, David Parent, Ville Kyrki and Luis Sentis and has published in prestigious journals such as Automatica, IEEE Transactions on Control Systems Technology and IEEE Transactions on Robotics.

In The Last Decade

Adrià Colomé

27 papers receiving 430 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adrià Colomé Spain 11 349 178 103 101 98 32 449
Akshara Rai United States 12 222 0.6× 156 0.9× 129 1.3× 49 0.5× 120 1.2× 23 378
Luis Figueredo Brazil 13 319 0.9× 102 0.6× 106 1.0× 88 0.9× 63 0.6× 56 464
Marek Kopicki United Kingdom 11 322 0.9× 173 1.0× 138 1.3× 90 0.9× 80 0.8× 18 414
Yanlong Huang Italy 12 396 1.1× 209 1.2× 132 1.3× 56 0.6× 168 1.7× 27 522
Zhixing Xue Germany 11 309 0.9× 149 0.8× 173 1.7× 71 0.7× 54 0.6× 24 409
Xavi Gratal Sweden 7 414 1.2× 202 1.1× 179 1.7× 151 1.5× 52 0.5× 8 549
Xiumin Diao United States 14 407 1.2× 300 1.7× 86 0.8× 60 0.6× 57 0.6× 43 577
Chengqian Xue China 6 334 1.0× 178 1.0× 39 0.4× 103 1.0× 59 0.6× 9 482
KeJun Ning Germany 8 232 0.7× 89 0.5× 128 1.2× 53 0.5× 92 0.9× 12 319
Balakumar Sundaralingam United States 12 345 1.0× 129 0.7× 206 2.0× 54 0.5× 107 1.1× 17 482

Countries citing papers authored by Adrià Colomé

Since Specialization
Citations

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

Fields of papers citing papers by Adrià Colomé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adrià Colomé

This figure shows the co-authorship network connecting the top 25 collaborators of Adrià Colomé. A scholar is included among the top collaborators of Adrià Colomé 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 Adrià Colomé. Adrià Colomé 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.
Colomé, Adrià, et al.. (2025). Linear quadratic control of nonlinear systems with Koopman operator learning and the Nyström method. Automatica. 177. 112302–112302. 1 indexed citations
2.
Colomé, Adrià, et al.. (2024). Benchmarking the Sim-to-Real Gap in Cloth Manipulation. IEEE Robotics and Automation Letters. 9(3). 2981–2988. 9 indexed citations
3.
Parent, David, et al.. (2024). Model Predictive Control for Dynamic Cloth Manipulation: Parameter Learning and Experimental Validation. IEEE Transactions on Control Systems Technology. 32(4). 1254–1270. 4 indexed citations
4.
Colomé, Adrià, et al.. (2024). Deformable surface reconstruction via Riemannian metric preservation. Computer Vision and Image Understanding. 249. 104155–104155.
5.
Colomé, Adrià, et al.. (2024). Unsupervised Trajectory Segmentation and Gesture Recognition through Curvature Analysis and the Levenshtein Distance. QRU Quaderns de Recerca en Urbanisme. 1–8. 2 indexed citations
6.
Colomé, Adrià, et al.. (2023). Controlled Gaussian process dynamical models with application to robotic cloth manipulation. International Journal of Dynamics and Control. 11(6). 3209–3219. 5 indexed citations
7.
Colomé, Adrià, et al.. (2023). Gaussian-process-based robot learning from demonstration. Journal of Ambient Intelligence and Humanized Computing. 10 indexed citations
8.
Colomé, Adrià, et al.. (2023). Quadratic Dynamic Matrix Control for Fast Cloth Manipulation. QRU Quaderns de Recerca en Urbanisme. 1 indexed citations
9.
Colomé, Adrià, et al.. (2022). Perturbation-Based Stiffness Inference in Variable Impedance Control. IEEE Robotics and Automation Letters. 7(4). 8823–8830. 13 indexed citations
10.
Colomé, Adrià & Carme Torras. (2022). Ordinal Inverse Reinforcement Learning Applied to Robot Learning with Small Data. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). abs/2102.07937. 2490–2496.
11.
Colomé, Adrià & Carme Torras. (2021). A topological extension of movement primitives for curvature modulation and sampling of robot motion. Autonomous Robots. 45(5). 725–735. 1 indexed citations
12.
Colomé, Adrià, et al.. (2020). Sample-Efficient Robot Motion Learning using Gaussian Process Latent Variable Models. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 314–320. 5 indexed citations
13.
Parent, David, Adrià Colomé, & Carme Torras. (2020). Variable Impedance Control in Cartesian Latent Space while Avoiding Obstacles in Null Space. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 9888–9894. 6 indexed citations
14.
Colomé, Adrià, et al.. (2020). Contextual Policy Search for Micro-Data Robot Motion Learning through Covariate Gaussian Process Latent Variable Models. QRU Quaderns de Recerca en Urbanisme. 5511–5517. 3 indexed citations
15.
Colomé, Adrià, et al.. (2019). Exploiting Symmetries in Reinforcement Learning of Bimanual Robotic Tasks. IEEE Robotics and Automation Letters. 4(2). 1838–1845. 11 indexed citations
16.
Colomé, Adrià & Carme Torras. (2019). Reinforcement Learning of Bimanual Robot Skills. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 5 indexed citations
17.
Colomé, Adrià & Carme Torras. (2018). Dimensionality Reduction in Learning Gaussian Mixture Models of Movement Primitives for Contextualized Action Selection and Adaptation. IEEE Robotics and Automation Letters. 3(4). 3922–3929. 5 indexed citations
18.
Colomé, Adrià & Carme Torras. (2018). Dimensionality Reduction for Dynamic Movement Primitives and Application to Bimanual Manipulation of Clothes. IEEE Transactions on Robotics. 34(3). 602–615. 39 indexed citations
19.
Colomé, Adrià & Carme Torras. (2017). Demonstration-free contextualized probabilistic movement primitives, further enhanced with obstacle avoidance. QRU Quaderns de Recerca en Urbanisme. 3190–3195. 8 indexed citations
20.
Colomé, Adrià & Carme Torras. (2014). Closed-Loop Inverse Kinematics for Redundant Robots: Comparative Assessment and Two Enhancements. IEEE/ASME Transactions on Mechatronics. 20(2). 944–955. 98 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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