Teaching Robots Interactively

Disagreement-Aware Variable Impedance Control for Online Learning of Physical Human-Robot Cooperation Tasks

Autorzy: Linda van der Spaa, Giovanni Franzese, Jens Kober, Michael Gienger
Opublikowane w: ICRA 2022 full day workshop - Shared Autonomy in Physical Human-Robot Interaction: Adaptability and Trust, 2022
Wydawca: workshop homepage

Interactive Learning of Sensor Policy Fusion

Autorzy: Bart Bootsma, Giovanni Franzese, Jens Kober
Opublikowane w: IEEE International Conference on Robot & Human Interactive Communication (RO-MAN), 2021
Wydawca: IEEE

Interactive Imitation Learning in State-Space

Autorzy: Snehal Jauhri, Carlos E. Celemin, Jens Kober
Opublikowane w: Conference on Robot Learning (CoRL), 2020
Wydawca: Proceedings of Machine Learning Research

Deep Reinforcement Learning with Feedback-based Exploration

Autorzy: Jan Scholten, Daan Wout, Carlos Celemin, Jens Kober
Opublikowane w: 2019 IEEE 58th Conference on Decision and Control (CDC), 2019, Strona(/y) 803-808, ISBN 978-1-7281-1398-2
Wydawca: IEEE
DOI: 10.1109/cdc40024.2019.9029503

ILoSA: Interactive Learning of Stiffness and Attractors

Autorzy: Giovanni Franzese, Anna Mészáros, Luka Peternel, Jens Kober
Opublikowane w: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021
Wydawca: IEEE

Uncertainties Based Queries for Interactive Policy Learning with Evaluations and Corrections

Autorzy: Carlos Celemin, Jens Kober
Opublikowane w: ICMI '21 Companion, 2021
Wydawca: ACM
DOI: 10.1145/3461615.3485404

Learning from Few Demonstrations with Frame-Weighted Motion Generation

Autorzy: Jianyong Sun, Jihong Zhu, Jens Kober, and Michael Gienger
Opublikowane w: 18th International Symposium on Experimental Robotics (ISER), 2023
Wydawca: Springer

Learning Interactively to Resolve Ambiguity in Reference Frame Selection

Autorzy: Giovanni Franzese, Carlos E. Celemin, Jens Kober
Opublikowane w: Conference on Robot Learning (CoRL), 2020
Wydawca: Proceedings of Machine Learning Research

Robotic Packaging Optimization with Reinforcement Learning

Autorzy: Drijver, Eveline; Pérez-Dattari, Rodrigo; Kober, Jens; Della Santina, Cosimo; Ajanović, Zlatan
Opublikowane w: IEEE International Conference on Automation Science and Engineering (CASE), Numer 1, 2023
Wydawca: IEEE
DOI: 10.1109/case56687.2023.10260406

Value Function Learning via Prolonged Backward Heuristic Search

Autorzy: Zlatan Ajanović, Bakir Lačević, Jens Kober
Opublikowane w: ICAPS 2023 Workshop: PRL Workshop Series – Bridging the Gap Between AI Planning and Reinforcement Learning, 2023
Wydawca: workshop homepage

PARTNR: Pick and place Ambiguity Resolving by Trustworthy iNteractive leaRning

Autorzy: Jelle Luijkx, Zlatan Ajanović, Laura Ferranti, Jens Kober
Opublikowane w: NeurIPS 2022 - 5th Robot Learning Workshop: Trustworthy Robotics, 2022
Wydawca: WS homepage
DOI: 10.48550/arxiv.2211.08304

Robotic Fabric Flattening with Wrinkle Direction Detection

Autorzy: Yulei Qiu, Jihong Zhu, Cosimo Della Santina, Michael Gienger, and Jens Kober
Opublikowane w: 18th International Symposium on Experimental Robotics (ISER), 2023
Wydawca: Springer

Vision for Bosnia and Herzegovina in Artificial Intelligence Age: Global Trends, Potential Opportunities, Selected Use-cases and Realistic Goals \\ BOS: Vizija Bosne i Hercegovine u Doba Umjetne Inteligencije: Svjetski Trendovi, Mogućnosti, Odabrani Primjeri i Realistični Ciljevi

Autorzy: Zlatan Ajanović, Emina Aličković, Aida Branković, Sead Delalić, Eldar Kurtić, Salem Malikić, Adnan Mehonić, Hamza Merzić, Kenan Šehić, Bahrudin Trbalić
Opublikowane w: "Scientific-Professional Conference ""Artificial Intelligence in Bosnia and Herzegovina""- research, application and development perspectives, Federalno ministarstvo obrazovanja i nauke/znanosti : Fondacija za inovacijski i tehnološki razvoj", 2022, Strona(/y) 13–46, ISBN 978-9958-11-165-5
Wydawca: Mostar : Federalno ministarstvo obrazovanja i nauke/znanosti : Fondacija za inovacijski i tehnološki razvoj, 2022 (Mostar : Print Team)

Damping Design for Robot Manipulators

Autorzy: Tomás Coleman, Giovanni Franzese, Pablo Borja
Opublikowane w: Human-Friendly Robotics 2022, 2023, Strona(/y) 74–89
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-031-22731-8_6

An Incremental Inverse Reinforcement Learning Approach for Motion Planning with Separated Path and Velocity Preferences

Autorzy: Armin Avaei; Linda van der Spaa; Luka Peternel; Jens Kober
Opublikowane w: Robotics, Numer VOLUME=12;ISSUE=2;, 2023, Strona(/y) 61, ISSN 2218-6581
Wydawca: MDPI
DOI: 10.3390/robotics12020061

Adaptation Through Prediction: Multisensory Active Inference Torque Control

Autorzy: Cristian Meo, Giovanni Franzese, Corrado Pezzato, Max Spahn, Pablo Lanillos
Opublikowane w: IEEE Transactions on Cognitive and Developmental Systems, Numer 15(1), 2023, Strona(/y) 32–41, ISSN 2379-8939
Wydawca: IEEE
DOI: 10.1109/tcds.2022.3156664

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

Autorzy: Anna Mészáros, Giovanni Franzese, Jens Kober
Opublikowane w: IEEE Robotics and Automation Letters, 2022, ISSN 2377-3766
Wydawca: IEEE
DOI: 10.1109/lra.2022.3165531

Do You Need a Hand? - A Bimanual Robotic Dressing Assistance Scheme

Autorzy: Jihong Zhu, Michael Gienger, Giovanni Franzese, Jens Kober
Opublikowane w: IEEE Transactions on Robotics, Numer Vol 40, 2024, Strona(/y) 1906-1919, ISSN 1552-3098
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tro.2024.3366008

Neural Optimal Control for Constrained Visual Servoing via Learning From Demonstration

Autorzy: Ravi Prakash, Laxmidhar Behera
Opublikowane w: IEEE Transactions on Automation Science and Engineering, 2023, ISSN 1545-5955
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tase.2023.3272739

Knowledge- and Ambiguity-Aware Robot Learning from Corrective and Evaluative Feedback

Autorzy: Carlos E. Celemin, Jens Kober
Opublikowane w: Neural Computing and Applications, Numer 35(23), 2023, Strona(/y) 16821–16839, ISSN 0941-0643
Wydawca: Springer Verlag
DOI: 10.1007/s00521-022-08118-z

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

Autorzy: Rodrigo Perez-Dattari, Carlos Celemin, Giovanni Franzese, Javier Ruiz-del-Solar, Jens Kober
Opublikowane w: IEEE Robotics & Automation Magazine, Numer 27/2, 2020, Strona(/y) 46-54, ISSN 1070-9932
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mra.2020.2983649

Interactive Imitation Learning in Robotics: A Survey

Autorzy: Carlos Celemin, Rodrigo Pérez-Dattari, Eugenio Chisari, Giovanni Franzese, Leandro de Souza Rosa, Ravi Prakash, Zlatan Ajanović, Marta Ferraz, Abhinav Valada, and Jens Kober
Opublikowane w: Foundations and Trends® in Robotics, Numer 10(1–2), 2022, Strona(/y) 1–197, ISSN 1935-8253
Wydawca: now publishers inc.
DOI: 10.1561/2300000072

Interactive Imitation Learning of Bimanual Movement Primitives

Autorzy: Giovanni Franzese, Leandro de Souza Rosa, Tim Verburg, Luka Peternel, and Jens Kober
Opublikowane w: IEEE/ASME Transactions on Mechatronics, 2023, ISSN 1083-4435
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tmech.2023.3295249

Solving Robot Assembly Tasks by Combining Interactive Teaching and Self-Exploration

Autorzy: Mariano Ramirez Montero, Giovanni Franzese, Jeroen Zwanepol, and Jens Kober
Opublikowane w: arxiv, 2022
Wydawca: arxiv
DOI: 10.48550/arxiv.2209.11530

Learning Gaussian Policies from Corrective Human Feedback

Autorzy: Daan Wout, Jan Scholten, Carlos Celemin, Jens Kober
Opublikowane w: arXiv, 2019
Wydawca: arXiv

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