Research output per year
Research output per year
Personal profile
Research
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.
UKÄ subject classification
- Computer Vision and Robotics (Autonomous Systems)
- Computer Science
- Robotics
Keywords
- Reinforcement Learning
- Industrial Robotics
- Robotics
- Assembly
- Skills
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Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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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 p.Research output: Contribution to conference › Paper, not in proceeding › peer-review
Open Access -
How to Set Up & Learn New Robot Tasks with Explainable Behaviors?
Mayr, M., Ahmad, F., Chatzilygeroudis, K., Nardi, L. & Krueger, V., 2022. 1 p.Research output: Contribution to conference › 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., p. 1485-1492Research output: Chapter in Book/Report/Conference proceeding › Paper in conference 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., p. 7572 7 p.Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review
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Parametrization of Behavior Trees for Industrial Assembly Skills through Reinforcement Learning
Mayr, M. & Krueger, V., 2019.Research output: Contribution to conference › Paper, not in proceeding › peer-review
Open AccessFile172 Downloads (Pure)
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Efficient Learning of Robot Skills
Mayr, M., Malec, J. & Krueger, V.
2018/09/03 → 2023/09/01
Project: Dissertation
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LU Robotics Laboratory
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
Project: Research
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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.
Project: Network