Publications

Journal papers:

  • Rodrigo Pérez-Dattari, Carlos Celemin, Giovanni Franzese, Javier Ruiz-del-Solar, and Jens Kober. Interactive Learning of Temporal Features for Control. IEEE Robotics and Automation Magazine (Special Issue on “Deep Learning and Machine Learning in Robotics”), 2020.

  • Carlos Celemin, Guilherme Maeda, Javier Ruiz-del-Solar, Jan Peters, and Jens Kober. Reinforcement Learning of Motor Skills using Policy Search and Human Corrective Advice. International Journal of Robotics Research, OnlineFirst, 2019.

  • Carlos Celemin, Javier Ruiz-del-Solar, and Jens Kober. A Fast Hybrid Reinforcement Learning Framework with Human Corrective Feedback. Autonomous Robots, 43(5):1173–1186, 2019.

  • Carlos Celemin, and Javier Ruiz-del-Solar. An Interactive Framework for Learning Continuous Actions Policies based on Corrective Feedback. Journal of Intelligent & Robotic Systems, 2018.

  • Carlos Celemin, and Miguel Melgarejo. A Proposal to Speed up the Computation of the Centroid of an Interval Type-2 Fuzzy Set. Advances in Fuzzy Systems, 2013.


Conference papers:

  • Snehal Jauhri, Carlos Celemin, and Jens Kober. Interactive Imitation Learning in State-Space. In Conference on Robot Learning (CoRL), 2020.

  • Giovanni Franzese, Carlos Celemin, and Jens Kober. Learning Interactively to Resolve Ambiguity in Reference Frame Selection. In Conference on Robot Learning (CoRL), 2020.

  • Jan Scholten, Daan Wout, Carlos Celemin, and Jens Kober. Deep Reinforcement Learning with Feedback-based Exploration. In IEEE Conference on Decision and Control (CDC), 2019.

  • Carlos Celemin, and Jens Kober. Simultaneous Learning of Objective Function and Policy from Interactive Teaching with Corrective Feedback. In IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), 2019.

  • Rodrigo Pérez Dattari, Carlos Celemin, Javier Ruiz Del Solar, and Jens Kober. Continuous Control for High-Dimensional State Spaces: An Interactive Learning Approach. In IEEE International Conference on Robotics and Automation (ICRA), pp. 7611–7617, 2019.

  • Rodrigo Pérez Dattari, Carlos Celemin, Javier Ruiz Del Solar, and Jens Kober. Interactive Learning with Corrective Feedback for Policies based on Deep Neural Networks. In International Symposium on Experimental Robotics (ISER), 2018.

  • Carlos Celemin, Rodrigo Perez, Javier Ruiz-del-Solar, and Manuela Veloso. Interactive Machine Learning Applied to Dribble a Ball in Soccer with Biped Robots. RoboCup 2017 Symposium, 2017.

  • Carlos Celemin, and Javier Ruiz-del-Solar. Teaching Agents with Corrective Human Feedback for Challenging Problems. Latin-American Conference on Computational Intelligence (IEEE LA-CCI), 2016. (Best paper).

  • Carlos Celemin, and Javier Ruiz-del-Solar. COACH: Learning continuous actions from COrrective Advice Communicated by Humans. International Conference on Advanced Robotics (ICAR), 2015.

  • Carlos Celemin, and Javier Ruiz-del-Solar. Interactive learning of continuous actions from corrective advice communicated by humans. RoboCup 2015 Symposium, 2015. (Best Paper).

  • Leonardo Leottau, Carlos Celemin, and Javier Ruiz-del-Solar. Ball Dribbling for Humanoid Biped Robots: A Reinforcement Learning and Fuzzy Control approach. RoboCup 2014 Symposium, 2014.

  • Carlos Celemin, and Miguel Melgarejo. A Faster Iterative Computation of Type-Reduction For Interval Type-2 Fuzzy Sets. Annual Meeting Of The North American Fuzzy Information Processing Society (NAFIPS), 2012.


Non-archival conferences:

  • Carlos Celemin. Reinforcement Learning and Human Corrections, Workshop of the International Symposium on Robotics Research (ISRR), 2017.

  • Carlos Celemin, Guilherme Maeda, Jens Kober, and Javier Ruiz-del-Solar. Human Corrective Advice in the Policy Search Loop. Workshop on Human in-the-loop robotic manipulation: on the influence of the human role, IROS, 2017.

  • Carlos Celemin, and Javier Ruiz-del-Solar. Interactive Learning using COACH: Towards Machine Learners that outperform Human Teachers. International Symposium on Robot and Human Interactive Communication (RO-MAN), 2016.

  • Carlos Celemin, and Javier Ruiz-del-Solar. An Interactive Machine Learning approach for non-expert teachers. XI IEEE Latin-American Summer School on Computational Intelligence, 2015. (best poster award).

  • Carlos Celemin, and Leonardo Leottau. A Fuzzy Control for Dribbling the Ball with Biped Robots. IX IEEE Latin-American Summer School on Computational Intelligence, 2013.

  • Carlos Celemin, and Hair Martínez. Type 1 and Interval Type 2 Fuzzy Classifiers Design with Clustering. IEEE RAS Summer School on "Robot Vision and Applications", 2012.