Publikationen von: Nils Rottmann


2021

Mehmet Cansev, Honghu Xue, Nils Rottmann, Adna Bliek, Luke E Miller, Elmar Rueckert and Philipp Beckerle, Interactive Human-Robot Skill Transfer: A Review of Learning Methods and User Experience (2021), in: Advanced Intelligent Systems
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2020

Nils Rottmann, Ralf Bruder, Achim Schweikard and Elmar Rueckert, A novel Chlorophyll Fluorescence based approach for Mowing Area Classification (2020), in: IEEE Sensors Journal
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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)
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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
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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)
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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
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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
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Nils Rottmann, Ralf Bruder, Achim Schweikard and Elmar Rueckert, Loop Closure Detection in Closed Environments, European Conference on Mobile Robots (ECMR 2019), 2019
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