As contributor

Publications

• M. Arduengo, A. Arduengo, A. Colomé, J. Lobo and C. Torras. Human to robot whole-body motion transfer, 2020 IEEE-RAS International Conference on Humanoid Robots, 2021, Munich, Germany (Virtual), pp. 299-305.

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• A. Colomé and C. Torras. A topological extension of movement primitives for curvature modulation and sampling of robot motion. Autonomous Robots, 45: 725-735, 2021.

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• M. Arduengo, A. Colomé, J. Borràs, L. Sentis and C. Torras. Task-adaptive robot learning from demonstration with Gaussian process models under replication. IEEE Robotics and Automation Letters, 6(2): 966-973, 2021.

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• J.A. Delgado-Guerrero, A. Colomé and C. Torras. Contextual policy search for micro-data robot motion learning through covariate Gaussian process latent variable models, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020, Las Vegas, NV, USA, pp. 5511-5517.

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• J.A. Delgado-Guerrero, A. Colomé and C. Torras. Sample-efficient robot motion learning using Gaussian process latent variable models, 2020 IEEE International Conference on Robotics and Automation, 2020, Paris, France, pp. 314-320, IEEE.

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• D. Parent, A. Colomé and C. Torras. Variable impedance control in Cartesian latent space while avoiding obstacles in null space, 2020 IEEE International Conference on Robotics and Automation, 2020, Paris, France, pp. 9888-9894, IEEE.

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• A. Colomé and C. Torras. Reinforcement Learning of Bimanual Robot Skills. Volume 134 of Springer Tracts in Advanced Robotics. Springer, 2020.

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• F. Amadio, A. Colomé and C. Torras. Exploiting symmetries in reinforcement learning of bimanual robotic tasks. IEEE Robotics and Automation Letters, 4(2): 1838-1845, 2019.

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• A. Colomé and C. Torras. 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, 2018.

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• A. Colomé and C. Torras. Dimensionality reduction for dynamic movement primitives and application to bimanual manipulation of clothes. IEEE Transactions on Robotics, 34(3): 602-615, 2018.

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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