| Closed-loop inverse kinematics for redundant robots: Comparative assessment and two enhancements A Colomé, C Torras IEEE/ASME Transactions on Mechatronics 20 (2), 944-955, 2014 | 120 | 2014 |
| External force estimation during compliant robot manipulation A Colomé, D Pardo, G Alenya, C Torras 2013 IEEE international conference on robotics and automation, 3535-3540, 2013 | 101 | 2013 |
| A friction-model-based framework for reinforcement learning of robotic tasks in non-rigid environments A Colomé, A Planells, C Torras 2015 IEEE international conference on robotics and automation (ICRA), 5649-5654, 2015 | 66 | 2015 |
| Dimensionality reduction for dynamic movement primitives and application to bimanual manipulation of clothes A Colomé, C Torras IEEE Transactions on Robotics 34 (3), 602-615, 2018 | 58 | 2018 |
| Dimensionality reduction for probabilistic movement primitives A Colomé, G Neumann, J Peters, C Torras 2014 IEEE-RAS International Conference on Humanoid Robots, 794-800, 2014 | 43 | 2014 |
| Redundant inverse kinematics: Experimental comparative review and two enhancements A Colomé, C Torras 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012 | 39 | 2012 |
| Realtime tracking and grasping of a moving object from range video F Husain, A Colomé, B Dellen, G Alenya, C Torras 2014 IEEE International Conference on Robotics and Automation (ICRA), 2617-2622, 2014 | 37 | 2014 |
| Dimensionality reduction and motion coordination in learning trajectories with dynamic movement primitives A Colomé, C Torras 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014 | 23 | 2014 |
| Robot motion adaptation through user intervention and reinforcement learning A Jevtić, A Colomé, G Alenya, C Torras Pattern Recognition Letters 105, 67-75, 2018 | 21 | 2018 |
| Smooth inverse kinematics algorithms for serial redundant robots A Colome Master Thesis. Barcelona: Institute de Roboticai Informatica Industrial (IRI), 2011 | 17 | 2011 |
| Dimensionality reduction in learning Gaussian mixture models of movement primitives for contextualized action selection and adaptation A Colomé, C Torras IEEE Robotics and Automation Letters 3 (4), 3922-3929, 2018 | 13 | 2018 |
| Exploiting symmetries in reinforcement learning of bimanual robotic tasks F Amadio, A Colomé, C Torras IEEE Robotics and Automation Letters 4 (2), 1838-1845, 2019 | 12 | 2019 |
| Dual REPS: A Generaliztion of Relative Entropy Policy Search Exploiting Bad Experiences A Colomé, C Torras IEEE Transactions on Robotics 33 (4), 2017 | 10 | 2017 |
| Sample-efficient robot motion learning using gaussian process latent variable models JA Delgado-Guerrero, A Colomé, C Torras 2020 IEEE International Conference on Robotics and Automation (ICRA), 314-320, 2020 | 9 | 2020 |
| Reinforcement Learning of Bimanual Robot Skills A Colomé, C Torras Springer International Publishing, 2020 | 9 | 2020 |
| User evaluation of an interactive learning framework for single-arm and dual-arm robots A Jevtić, A Colomé, G Alenya, C Torras Social Robotics: 8th International Conference, ICSR 2016, Kansas City, MO …, 2016 | 8 | 2016 |
| Demonstration-free contextualized probabilistic movement primitives, further enhanced with obstacle avoidance A Colomé, C Torras Intelligent Robots and Systems (IROS 2017), 2017 IEEE/RSJ International …, 2017 | 7* | 2017 |
| External force estimation for textile grasp detection A Colomé Figueras, DE Pardo Ayala, G Alenyŕ Ribas, C Torras Proceedings of the 2012 IROS Workshop Beyond Robot Grasping: Modern …, 2012 | 7 | 2012 |
| Task-adaptive robot learning from demonstration with Gaussian process models under replication M Arduengo, A Colomé, J Borrŕs, L Sentis, C Torras IEEE Robotics and Automation Letters 6 (2), 966-973, 2021 | 6 | 2021 |
| Variable impedance control in Cartesian latent space while avoiding obstacles in null space D Parent, A Colomé, C Torras 2020 IEEE International Conference on Robotics and Automation (ICRA), 9888-9894, 2020 | 6 | 2020 |
Carme TorrasInstitut de Robňtica i Informŕtica Industrial (CSIC-UPC)Verified email at iri.upc.edu
