As contributor

Publications

• F. Stulp, A. Colomé and C. Torras. Fitting parameters of linear dynamical systems to regularize forcing terms in Dynamical Movement Primitives, 2024 IEEE International Conference on Robotics and Automation, 2024, Yokohama (Japan), pp. 15024-15030, to appear.

  Abstract Info PDF

• D. Blanco-Mulero, O. Barbany, G. Alcan, A. Colomé, C. Torras and V. Kyrki. Benchmarking the sim-to-real gap in cloth manipulation. IEEE Robotics and Automation Letters, 9(3): 2981-2988, 2024.

  Abstract Info PDF

• A. Luque, D. Parent, A. Colomé, C. Ocampo-Martínez and C. Torras. Model predictive control for dynamic cloth manipulation: Parameter learning and experimental validation. IEEE Transactions on Control Systems Technology, 32(4): 1254-1270, 2024.

  Abstract Info PDF

• E. Caldarelli, A. Chatalic, A. Colomé, L. Rosasco and C. Torras. Heteroscedastic Gaussian processes and random features: scalable motion primitives with guarantees, 2023 Conference on Robot Learning, 2023, Atlanta, GA, USA, pp. 3010-3029, PMLR.

  Abstract Info PDF

• E. Caldarelli, A. Colomé, C. Ocampo-Martínez and C. Torras. Quadratic dynamic matrix control for fast cloth manipulation, 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2023, Detroit, MI, USA, pp. 8178-8185.

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• F. Amadio, J.A. Delgado-Guerrero, A. Colomé and C. Torras. Controlled Gaussian process dynamical models with application to robotic cloth manipulation. International Journal of Dynamics and Control , 11: 3209-3219, 2023.

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• M. Arduengo, A. Colomé, J. Lobo, L. Sentis and C. Torras. Gaussian-process-based learning from demonstration. Journal of Ambient Intelligence and Humanized Computing, 2023, to appear.

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• A. Colomé and C. Torras. Mutual information weighing for probabilistic movement primitives, 24th Catalan Conference on Artificial Intelligence, 2022, Sitges, in Artificial Intelligence Research and Development, Vol 356 of Frontiers in Artificial Intelligence and Applications, pp. 365-368, IOS Press.

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• A. Colomé and C. Torras. Ordinal inverse reinforcement learning applied to robot learning with small data, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022, Kyoto, pp. 2490-2496.

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• E. Caldarelli, A. Colomé and C. Torras. Perturbation-Based stiffness inference in variable impedance control. IEEE Robotics and Automation Letters, 7(4): 8823-8830, 2022.

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PhD Theses as supervisor

• Learning cloth handling skills with Gaussian Processes and Model Predictive Control

  Student:

  Edoardo Caldarelli

  Started:

  16/06/2021

  Description Info

• Feedback models for real-time robotic cloth manipulation

  Student:

  Oriol Barbany Mayor

  Started:

  19/07/2021

  Description Info