Elmar Rückert

Research output

  1. 2022
  2. Published

    Using Deep Reinforcement Learning with Automatic Curriculum Learning for Mapless Navigation in Intralogistics

    Xue, H., Hein, B., Bakr, M., Schildbach, G., Abel, B. & Rueckert, E., 19 Mar 2022, In: Applied Sciences (Switzerland). 12.2022, 6, 30 p., 3153.

    Research output: Contribution to journalArticleResearchpeer-review

  3. 2021
  4. Published

    A high-accuracy, low-budget Sensor Glove for Trajectory Model Learning

    Denz, R., Demirci, R., Cansev, M. E., Bliek, A., Beckerle, P., Rueckert, E. & Rottmann, N., 6 Dec 2021, 2021 20th International Conference on Advanced Robotics, ICAR 2021. Institute of Electrical and Electronics Engineers, p. 1109-1115 7 p. (2021 20th International Conference on Advanced Robotics, ICAR 2021).

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

  5. 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

  6. 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

  7. 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

  8. Published

    Interactive Human–Robot Skill Transfer: A Review of Learning Methods and User Experience

    Cansev, M. E., Xue, H., Rottmann, N., Bliek, A., Miller, L. E., Rückert, E. & Beckerle, P., 6 May 2021, In: Advanced Intelligent Systems. 3.2021, 7, 11 p., 2000247.

    Research output: Contribution to journalArticleResearchpeer-review

  9. 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

  10. 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

  11. 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

  12. 2020
  13. 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

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