Elmar Rückert
Research output
- Published
KI 2021: Advances in Artificial Intelligence - Preface
Edelkamp, S., Möller, R. & Rückert, E., 2021, KI 2021: Advances in Artificial Intelligence: 44th German Conference on AI, Virtual Event, September 27 – October 1, 2021, Proceedings. Edelkamp, S., Möller, R. & Rückert, E. (eds.). Vol. 12873 LNAI. p. v-vi (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Integrating Human Expertise in Continuous Spaces: A Novel Interactive Bayesian Optimization Framework with Preference Expected Improvement
Feith, N. & Rückert, E., 1 Mar 2024, In: IEEE International Conference on Ubiquitous Robots.Research output: Contribution to journal › Conference article › peer-review
- Published
Advancing Interactive Robot Learning: A User Interface Leveraging Mixed Reality and Dual Quaternions
Feith, N. & Rückert, E., 1 Mar 2024, In: IEEE International Conference on Ubiquitous Robots.Research output: Contribution to journal › Conference article › peer-review
- Published
Digging Deeper: Recycling Solutions for (Tunnel) Excavated Materials
Findl, M. J. (Editor), Ang, I. S. (Editor), Hauzinger, E. (Editor), Galler, R. (Editor), Rückert, E. (Editor) & Sedlazeck, K. P. (Editor), May 2024.Research output: Contribution to conference › Poster › Research
- Published
Digging Deeper: Recycling Solutions for (Tunnel) Excavated Materials: Nachhaltige Nutzung von Aushubmaterialien des Tief- & Tunnelbaus mithilfe sensorgestützter Technologien
Findl, M. J. (Editor), Ang, I. S. (Editor), Hauzinger, E. (Editor), Galler, R. (Editor), Rückert, E. (Editor) & Sedlazeck, K. P. (Editor), May 2024.Research output: Contribution to conference › Poster › Research
- Published
Cerebellar transcranial current stimulation: An intraindividual comparison of different techniques
Herzog, R., Berger, T. M., Pauly, M. G., Xue, H., Rückert, E., Münchau, A., Bäumer, T. & Weissbach, A., 15 Sept 2022, In: Frontiers in Neuroscience. 16, 12 p., 987472.Research output: Contribution to journal › Article › Research › peer-review
- E-pub ahead of print
Predictive Exoskeleton Control for Arm-Motion Augmentation Based on Probabilistic Movement Primitives Combined with a Flow Controller
Jamsek, M., Kunavar, T., Bobek, U., Rueckert, E. & Babic, J., 25 Mar 2021, (E-pub ahead of print) In: IEEE robotics and automation letters. 6.2021, 3, p. 4417-4424 8 p., 9387088.Research output: Contribution to journal › Article › Research › peer-review
- Published
A Reinforcement Learning Approach for Real-Time Autonomous Decision-Making in Well Construction
Keshavarz, S., Vita, P., Rückert, E., Ortner, R. & Thonhauser, G., 19 Jan 2023, SPE AI Symposium 2023: Leveraging Artificial Intelligence to Shape the Future of the Energy Industry. (Society of Petroleum Engineers - SPE Symposium: Leveraging Artificial Intelligence to Shape the Future of the Energy Industry, AIS 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Learning probabilistic features from EMG data for predicting knee abnormalities
Kohlschuetter, J., Peters, J. & Rueckert, E., 2016, IFMBE Proceedings. p. 662-666 5 p. (IFMBE Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Chapter › Research
- Published
Predicting condition states, based on displacement data, generated by acceleration sensors on industrial linear vibrating screens through neural networks
Krukenfellner, P., Rückert, E. & Flachberger, H., 4 Oct 2024, In: IEEE sensors journal. 24.2024, 22, p. 38232-38243 12 p.Research output: Contribution to journal › Article › Research › peer-review
