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

    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

  5. 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 journalArticleResearchpeer-review

  6. Published

    A novel chlorophyll fluorescence-based approach for mowing area classification

    Rottmann, N., Bruder, R., Schweikard, A. & Rückert, 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. & 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 proceedingConference contribution

  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. 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. 6.2020, 3, 4 p., 20203031.

    Research output: Contribution to journalArticleResearchpeer-review

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