Forskningsoutput per år
Forskningsoutput per år
Personlig profil
Forskning
Research on efficient learning with robots in industrial assembly tasks.
Todays robots are often traditionally programmed. While this allows a high level of repeatability and fast execution times the process is also static, needs precise as well as explicit statements as well as skilled factory workers.
This research aims at allowing a robot to learn how to perform a task. Additionally this process will be complemented by providing knowledge about the task in order to speed up the learning rate.
Ämnesklassifikation (UKÄ)
- Datorseende och robotik (autonoma system)
- Datavetenskap (datalogi)
- Robotteknik och automation
Fingeravtryck
Utforska forskningsämnen där Matthias Mayr är aktiv. Dessa ämnesetiketter kommer från personens arbeten. Tillsammans bildar de ett unikt fingeravtryck.
- 1 Liknande profiler
Nätverk
Externa samarbeten med länder/områden de senaste 5 åren
Forskningsoutput
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Generalizing Behavior Trees and Motion-Generator (BTMG) Policy Representation for Robotic Tasks Over Scenario Parameters
Ahmad, F., Mayr, M., Topp, E. A., Malec, J. & Krueger, V., 2022. 2 s.Forskningsoutput: Konferensbidrag › Konferenspaper, ej i proceeding/ej förlagsutgivet › Peer review
Öppen tillgång -
How to Set Up & Learn New Robot Tasks with Explainable Behaviors?
Mayr, M., Ahmad, F., Chatzilygeroudis, K., Nardi, L. & Krueger, V., 2022. 1 s.Forskningsoutput: Konferensbidrag › Poster › Peer review
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Learning Skill-based Industrial Robot Tasks with User Priors
Mayr, M., Hvarfner, C., Chatzilygeroudis, K., Nardi, L. & Krueger, V., 2022, IEEE International Conference on Automation Science and Engineering (CASE). IEEE - Institute of Electrical and Electronics Engineers Inc., s. 1485-1492Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i proceeding › Peer review
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Learning of Parameters in Behavior Trees for Movement Skills
Mayr, M., Ahmad, F., Chatzilygeroudis, K., Nardi, L. & Krueger, V., 2021 dec. 16, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE - Institute of Electrical and Electronics Engineers Inc., s. 7572 7 s.Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i proceeding › Peer review
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Parametrization of Behavior Trees for Industrial Assembly Skills through Reinforcement Learning
Mayr, M. & Krueger, V., 2019.Forskningsoutput: Konferensbidrag › Konferenspaper, ej i proceeding/ej förlagsutgivet › Peer review
Öppen tillgångFil172 Nedladdningar (Pure)
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Efficient Learning of Robot Skills
Mayr, M., Malec, J. & Krueger, V.
2018/09/03 → 2023/09/01
Projekt: Avhandling
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Robotlab LTH
Bagge Carlson, F., Dressler, I., Johansson, R., Ghazaei Ardakani, M., Karlsson, M., Linderoth, M., Olofsson, B., Olsson, T., Robertsson, A., Sörnmo, O., Stolt, A., Robertz, S., Haage, M., Malec, J., Nilsson, K., Nugues, P., Stenmark, M., Topp, E. A., Krueger, V., Åström, H., Greiff, M., Klöckner, M., Mayr, M., Sun, Z., Salt Ducaju, J., Nishimura, M., Wisbrant, J., Andersson, L., Dürr, A., Mayr, M., Åström, H., Nugues, P., Klang, M., Klöckner, M., Lager, M., Nardi, L., Ahmad, F., Oxenstierna, J., Rizwan, M., Reichenbach, C., Bergström, J., Dell'Unto, N., Maunsbach, L., Åström, K., Sminchisescu, C., Flood, G., Blomdell, A., Soltesz, K., Magnusson, M. & Fransson, P.
1993/01/01 → 2029/12/31
Projekt: Forskning
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RSS: Robotics and Semantic Systems
Krueger, V., Topp, E. A., Malec, J., Haage, M., Mayr, M., Åström, H., Dürr, A., Nugues, P., Klang, M., Klöckner, M., Lager, M., Robertz, S., Nardi, L. & Nilsson, K.
Projekt: Nätverk