Adrià Colomé Figueras

Doctor FC Laboral Fijo


PhD Members Representative


Subline:

Perception and Manipulation


E-mail acolome (at) iri.upc.edu

Phone 93 4015902

  • Current
  • Archive

As contributor

Publications

  • 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.

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  • 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: 1-17, 2024, to appear.

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  • 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.

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  • 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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  • C. Xu, A. Colomé, L. Sentis and C. Torras. Mixtures of controlled Gaussian processes for dynamical modeling of deformable objects, 2022 Learning for Dynamics & Control Conference, 2022, Stanford, CA, USA, pp. 415-426.

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PhD Theses as supervisor