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Teaching Robots Interactively

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Publications

Interactive Learning of Sensor Policy Fusion

Author(s): Bart Bootsma, Giovanni Franzese, Jens Kober
Published in: IEEE International Conference on Robot & Human Interactive Communication (RO-MAN), 2021
Publisher: IEEE

Interactive Imitation Learning in State-Space

Author(s): Snehal Jauhri, Carlos E. Celemin, Jens Kober
Published in: Conference on Robot Learning (CoRL), 2020
Publisher: Proceedings of Machine Learning Research

Deep Reinforcement Learning with Feedback-based Exploration

Author(s): Jan Scholten, Daan Wout, Carlos Celemin, Jens Kober
Published in: 2019 IEEE 58th Conference on Decision and Control (CDC), 2019, Page(s) 803-808, ISBN 978-1-7281-1398-2
Publisher: IEEE
DOI: 10.1109/cdc40024.2019.9029503

ILoSA: Interactive Learning of Stiffness and Attractors

Author(s): Giovanni Franzese, Anna Mészáros, Luka Peternel, Jens Kober
Published in: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021
Publisher: IEEE

Uncertainties Based Queries for Interactive Policy Learning with Evaluations and Corrections

Author(s): Carlos Celemin, Jens Kober
Published in: ICMI '21 Companion, 2021
Publisher: ACM
DOI: 10.1145/3461615.3485404

Learning Interactively to Resolve Ambiguity in Reference Frame Selection

Author(s): Giovanni Franzese, Carlos E. Celemin, Jens Kober
Published in: Conference on Robot Learning (CoRL), 2020
Publisher: Proceedings of Machine Learning Research

Learning to Pick at Non-Zero-Velocity from Interactive Demonstrations

Author(s): Anna Mészáros, Giovanni Franzese, Jens Kober
Published in: IEEE Robotics and Automation Letters, 2022, ISSN 2377-3766
Publisher: IEEE
DOI: 10.1109/lra.2022.3165531

Interactive Learning of Temporal Features for Control: Shaping Policies and State Representations From Human Feedback

Author(s): Rodrigo Perez-Dattari, Carlos Celemin, Giovanni Franzese, Javier Ruiz-del-Solar, Jens Kober
Published in: IEEE Robotics & Automation Magazine, 27/2, 2020, Page(s) 46-54, ISSN 1070-9932
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mra.2020.2983649

Learning Gaussian Policies from Corrective Human Feedback

Author(s): Daan Wout, Jan Scholten, Carlos Celemin, Jens Kober
Published in: arXiv, 2019
Publisher: arXiv