The paper by Nils Rottmann, Ralf Bruder, Achim Schweikard and Elmar Rueckert on “Loop Closure Detection in Closed Environments” was accepted for publication at the 2019 European Conference on Mobile Robots (ECMR).
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Conference Paper Accepted at IROS 2019
The paper by Svenja Stark, Jan Peters and Elmar Rueckert on “Experience Reuse with Probabilistic Movement Primitives” was accepted for publication in the Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019).
Successful grant: Autonome Elektrofahrzeuge als urbane Lieferanten
Das Projekt Autonome Elektrofahrzeuge als urbane Lieferanten wird im Rahmen des Programms „Our Common Future“ von der Robert Bosch Stiftung gefördert.
Projektstart ist der 01.07.2019 bis 30.10.2021
More at: https://future.ai-lab.science
Gründungssitzung Grundlagen von KI Systemen
Fachausschusses FA1.60 zu Grundlagen lernender intelligenter Systeme,
Gründungsmitglieder: Barbara Hammer (Universität Bielefeld),
Elmar Rückert (gewählter Vorsitzender),
Georg Schildbach (Universität zu Lübeck),
Gerhard Neumann (Universität Tübingen),
Heinz Koeppl (Technische Universität Darmstadt),
Jan Peters (Technische Universität Darmstadt),
Justus Piater (Universität Innsbruck),
Kristian Kersting (Technische Universität Darmstadt),
Marc Toussaint (Universität Stuttgart),
Micheal Ginger (Honda Research, Offenbach),
Philipp Beckerle (Technische Universität Dortmund),
Philipp Rostalski (Universität zu Lübeck),
Tamim Asfour (Karlsruher Institut für Technologie).
Best Paper Award
for the paper: Learning to Categorize Bug Reports with LSTM Networks, by Gondaliya, Kaushikkumar D; Peters, Jan; Rueckert, Elmar. In Proceedings of the International Conference on Advances in System Testing and Validation Lifecycle (VALID)., pp. 6, XPS (Xpert Publishing Services), Nice, France, 2018, ISBN: 978-1-61208-671-2, ( October 14-18, 2018).
Conference paper accepted at BIOSIGNALS 2019
Rottmann, N; Bruder, R; Schweikard, A; Rueckert, E. (2019). Cataglyphis ant navigation strategies solve the global localization problem in robots with binary sensors, Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS).
Journal Paper Accepted at Neural Networks
Daniel Tanneberg, Jan Peters, Elmar Rueckert
Intrinsic Motivation and Mental Replay enable Efficient Online Adaptation in Stochastic Recurrent Networks
accepted (Oct, 9th 2018) at Neural Networks – Elsevier with an Impact Factor of 7.197 (2017).
Conference paper accepted at VAILD 2018
Gondaliya, D. Kaushikkumar; Peters, J.; Rueckert, E. (2018). Learning to categorize bug reports with LSTM networks: An empirical study on thousands of real bug reports from a world leading software company, Proceedings of the International Conference on Advances in System Testing and Validation Lifecycle (VALID).
Journal Paper Accepted at JMLR – Journal of Machine Learning Research.
Adrian Šošić, Elmar Rueckert, Jan Peters, Abdelhak M. Zoubir, Heinz Koeppl
Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling
1st day as Assistant Professor
![uni luebeck logo](https://www.uni-luebeck.de/fileadmin/uzl_kommunikation/corporatedesign/Logo_Uni_Luebeck_300dpi.png)