Elmar Rückert

Research output

  1. 2021
  2. Published

    Using Probabilistic Movement Primitives in Analyzing Human Motion Differences Under Transcranial Current Stimulation

    Xue, H., Herzog, R., Berger, T. M., Bäumer, T., Weissbach, A. & Rueckert, E., 14 Sep 2021, In: Frontiers in robotics and AI. 8.2021, 18 p., 721890.

    Research output: Contribution to journalArticleResearchpeer-review

  3. Published

    A probabilistic approach for complete coverage path planning with low-cost systems

    Rottmann, N., Denz, R., Bruder, R. & Rueckert, E., Aug 2021, 2021 10th European Conference on Mobile Robots, ECMR 2021 - Proceedings. Institute of Electrical and Electronics Engineers, (2021 10th European Conference on Mobile Robots, ECMR 2021 - Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  4. Published

    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., Jul 2021, In: IEEE robotics and automation letters. 6, 3, p. 4417-4424 8 p., 9387088.

    Research output: Contribution to journalArticleResearchpeer-review

  5. Published

    SKID RAW: Skill Discovery from Raw Trajectories

    Tanneberg, D., Ploeger, K., Rueckert, E. & Peters, J., Jul 2021, In: IEEE robotics and automation letters. 6, 3, p. 4696-4703 8 p., 9387162.

    Research output: Contribution to journalArticleResearchpeer-review

  6. Published

    A novel chlorophyll fluorescence-based approach for mowing area classification

    Rottmann, N., Bruder, R., Schweikard, A. & Rueckert, E., 15 Feb 2021, In: IEEE sensors journal. 21, 4, p. 4500-4508 9 p., 9234496.

    Research output: Contribution to journalArticleResearchpeer-review

  7. Published

    Preface

    Edelkamp, S., Möller, R. & Rueckert, E., 2021, In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 12873 LNAI, p. v-vi

    Research output: Contribution to journalEditorialpeer-review

  8. 2020
  9. Published

    Evolutionary training and abstraction yields algorithmic generalization of neural computers

    Tanneberg, D., Rückert, E. & Peters, J., 16 Nov 2020, In: Nature machine intelligence.

    Research output: Contribution to journalArticleResearchpeer-review

  10. Published

    Exploiting Chlorophyll Fluorescense for building robust low-cost Mowing Area Detectors

    Rottmann, N., Bruder, R., Schweikard, A. & Rueckert, E., 25 Oct 2020, IEEE Sensors, SENSORS 2020 - Conference Proceedings. Institute of Electrical and Electronics Engineers, 9278858. (Proceedings of IEEE Sensors; vol. 2020-October).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  11. Published

    Learning hierarchical acquisition functions for bayesian optimization

    Rottmann, N., Kunavar, T., Babic, J., Peters, J. & Rueckert, E., 24 Oct 2020, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020. Institute of Electrical and Electronics Engineers, p. 5490-5496 7 p. 9341335. (IEEE International Conference on Intelligent Robots and Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  12. Published

    Efficient Body Registration Using Single-View Range Imaging and Generic Shape Templates

    Çallar, T. C., Rueckert, E. & Böttger, S., 1 Sep 2020, In: Current directions in biomedical engineering. 6, 3, 20203031.

    Research output: Contribution to journalArticleResearchpeer-review

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