Publikationen von: Elmar Rückert


2020

Tolga-Can Çallar, Elmar Rueckert and Sven Böttger, Efficient Body Registration Using Single-View Range Imaging and Generic Shape Templates (2020), in: 54th Annual Conference of the German Society for Biomedical Engineering (BMT 2020)
[Bib|RIS]
Nils Rottmann, Ralf Bruder, Achim Schweikard and Elmar Rueckert, Exploiting Chlorophyll Fluorescense for Building Robust low-Cost Mowing Area Detectors (2020), in: IEEE SENSORS Conference(4)
[Bib|RIS]
[URL]
Nils Rottmann, Tjasa Kunavar, Jan Babic, Jan Peters and Elmar Rueckert, Learning Hierarchical Acquisition Functions for Bayesian Optimization, Las Vegas, USA, Proceedings of International Conference on Intelligent Robots and Systems (IROS), 2020
[Bib|RIS]
[URL]
Nils Rottmann, Ralf Bruder, Honghu Xue, Achim Schweikard and Elmar Rueckert, Parameter Optimization for Loop Closure Detection in Closed Environments (2020), in: Workshop Paper at the International Conference on Intelligent Robots and Systems (IROS)(8)
[Bib|RIS]
[URL]
Honghu Xue, Sven Böttger, Nils Rottmann, Harit Pandya, Ralf Bruder, Gerdhard Neumann and Elmar Rueckert, Sample-Efficient Covariance Matrix Adaptation Evolutional Strategy via Simulated Rollouts in Neural Networks, Berlin, Germany, Proceedings of International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI), 2020
[Bib|RIS]
[URL]

2019

Nils Rottmann, Ralf Bruder, Achim Schweikard and Elmar Rueckert, Cataglyphis ant navigation strategies solve the global localization problem in robots with binary sensors, Prague, Czech Republic, Proceedings of International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS), 2019
[Bib|RIS]
[URL]
Elmar Rueckert, Philipp Jauer, Alexander Derksen and Achim Schweikard, Dynamic Control Strategies for Cable-Driven Master Slave Robots, in: Proceedings on Minimally Invasive Surgery, Luebeck, Germany, Luebeck, Germany, 2019
[DOI]
[Bib|RIS]
Daniel Tanneberg, Jan Peters and Elmar Rueckert, Intrinsic Motivation and Mental Replay enable Efficient Online Adaptation in Stochastic Recurrent Networks (2019), in: Neural Networks - Elsevier, 109(67-80)
[DOI]
[Bib|RIS]
[URL]
Nils Rottmann, Ralf Bruder, Achim Schweikard and Elmar Rueckert, Loop Closure Detection in Closed Environments, European Conference on Mobile Robots (ECMR 2019), 2019
[Bib|RIS]
Sven Böttger, Tolga-Can Çallar, Elmar Rueckert and Achim Schweikard, Medical robotics simulation framework for application-specific optimal kinematics (2019), in: Current Directions in Biomedical Engineering, 5:1(145-148)
[DOI]
[Bib|RIS]
[URL]

2018

Adrian Sosic, Elmar Rueckert, Jan Peters and Abdelhak M Zoubir, Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling (2018), in: Journal of Machine Learning Research (JMLR)
[Bib|RIS]
Elmar Rueckert, Learning to Categorize Bug Reports with LSTM Networks, in: Proceedings of the International Conference on Advances in System Testing and Validation Lifecycle (VALID), Nice, France, pages 6, XPS (Xpert Publishing Services), 2018
attachment
[Bib|RIS]
[URL]