Elmar Rückert

Research output

  1. 2022
  2. Published

    Can we infer the full-arm manipulation skills from tactile targets?

    Dave, V. & Rückert, E., 26 Sep 2022, Workshop Paper at the International Conference on Humanoid Robots (Humanoids). (Proceedings of the International Conference on Humanoid Robots).

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

  3. Published

    End-To-End Deep Reinforcement Learning for First-Person Pedestrian Visual Navigation in Urban Environments

    Xue, H., Song, R., Petzold, J., Hein, B., Hamann, H. & Rueckert, E., 26 Sep 2022, Proceedings of the International Conference on Humanoid Robots (Humanoids).

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

  4. Published

    Predicting full-arm grasping motions from anticipated tactile responses

    Dave, V. & Rueckert, E., 26 Sep 2022, Proceedings of the International Conference on Humanoid Robots (Humanoids). (Proceedings of the International Conference on Humanoid Robots).

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

  5. 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 Sep 2022, In: Frontiers in Neuroscience. 16, 12 p., 987472.

    Research output: Contribution to journalArticleResearchpeer-review

  6. 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

  7. 2021
  8. 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, International Conference on Advanced Robotics, ICAR 2021: 2021 20th International Conference on Advanced Robotics (ICAR). p. 1109-1115 7 p. (Proceedings of the International Conference on Advanced Robotics).

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

  9. 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

  10. 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 proceedingChapter

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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 proceedingConference contribution

  16. 2020
  17. 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

  18. 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

  19. 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

  20. 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

  21. Probabilistic Movement Models Show that Postural Control Precedes and Predicts Volitional Motor Control

    Rückert, E., Čamernik, J., Peters, J. & Babič, J., 16 Apr 2020, In: Scientific Reports. 6.2016, 1, 12 p., 28455 / 6694.

    Research output: Contribution to journalArticleResearchpeer-review

  22. 2019
  23. Published

    Experience Reuse with Probabilistic Movement Primitives

    Stark, S., Peters, J. & Rueckert, E., Nov 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2019. Institute of Electrical and Electronics Engineers, p. 1210-1217 8 p. 8968545. (IEEE International Conference on Intelligent Robots and Systems).

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

  24. Medical robotics simulation framework for application-specific optimal kinematics

    Böttger, S., Çallar, T. C., Schweikard, A. & Rückert, E., 18 Sep 2019, In: Current directions in biomedical engineering. 5.2019, 1, p. 145-148 4 p.

    Research output: Contribution to journalArticleResearchpeer-review

  25. Published

    Loop closure detection in closed environments

    Rottmann, N., Bruder, R., Schweikard, A. & Rueckert, E., Sep 2019, 2019 European Conference on Mobile Robots, ECMR 2019 - Proceedings. Preucil, L., Behnke, S. & Kulich, M. (eds.). Institute of Electrical and Electronics Engineers, 8870938. (2019 European Conference on Mobile Robots, ECMR 2019 - Proceedings).

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

  26. Intrinsic motivation and mental replay enable efficient online adaptation in stochastic recurrent networks

    Tanneberg, D., Peters, J. & Rueckert, E., Jan 2019, In: Neural networks. 109.2019, January, p. 67-80 14 p.

    Research output: Contribution to journalArticleResearchpeer-review

  27. Published

    Cataglyphis ant navigation strategies solve the global localization problem in robots with binary sensors

    Rottmann, N., Bruder, R., Schweikard, A. & Rueckert, E., 2019, BIOSIGNALS 2019 - 12th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 12th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2019. Putze, F., Fred, A. & Gamboa, H. (eds.). p. 214-223 10 p. (BIOSIGNALS 2019 - 12th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 12th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2019).

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

  28. 2018
  29. Inverse reinforcement learning via nonparametric spatio-temporal subgoal modeling

    Šošić, A., Rueckert, E., Peters, J., Zoubir, A. M. & Koeppl, H., 1 Oct 2018, In: Journal of Machine Learning Research. 19.2018, 69, 45 p.

    Research output: Contribution to journalArticleResearchpeer-review

  30. Probabilistic movement primitives under unknown system dynamics

    Paraschos, A., Rueckert, E., Peters, J. & Neumann, G., 25 Apr 2018, (E-pub ahead of print) In: Advanced robotics. 32.2018, 6, p. 297-310 14 p.

    Research output: Contribution to journalArticleResearchpeer-review

  31. 2017
  32. Published

    A comparison of distance measures for learning nonparametric motor skill libraries

    Stark, S., Peters, J. & Rueckert, E., 22 Dec 2017, 2017 IEEE-RAS 17th International Conference on Humanoid Robotics, Humanoids 2017. IEEE Computer Society, p. 624-630 7 p. (IEEE-RAS International Conference on Humanoid Robots).

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

  33. Published

    Efficient online adaptation with stochastic recurrent neural networks

    Tanneberg, D., Peters, J. & Rueckert, E., 22 Dec 2017, 2017 IEEE-RAS 17th International Conference on Humanoid Robotics, Humanoids 2017. IEEE Computer Society, p. 198-204 7 p. (IEEE-RAS International Conference on Humanoid Robots).

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

  34. Published

    Learning inverse dynamics models in O(n) time with LSTM networks

    Rueckert, E., Nakatenus, M., Tosatto, S. & Peters, J., 22 Dec 2017, 2017 IEEE-RAS 17th International Conference on Humanoid Robotics, Humanoids 2017. IEEE Computer Society, p. 811-816 6 p. (IEEE-RAS International Conference on Humanoid Robots).

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

  35. 2016
  36. Published

    Deep spiking networks for model-based planning in humanoids

    Tanneberg, D., Paraschos, A., Peters, J. & Rueckert, E., 30 Dec 2016, Humanoids 2016 - IEEE-RAS International Conference on Humanoid Robots. IEEE Computer Society, p. 656-661 6 p. 7803344. (IEEE-RAS International Conference on Humanoid Robots).

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

  37. Published

    Model estimation and control of compliant contact normal force

    Azad, M., Ortenzi, V., Lin, H. C., Rueckert, E. & Mistry, M., 30 Dec 2016, Humanoids 2016 - IEEE-RAS International Conference on Humanoid Robots. IEEE Computer Society, p. 442-447 6 p. 7803313. (IEEE-RAS International Conference on Humanoid Robots).

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

  38. Published

    A low-cost sensor glove with vibrotactile feedback and multiple finger joint and hand motion sensing for human-robot interaction

    Weber, P., Rueckert, E., Calandra, R., Peters, J. & Beckerle, P., 15 Nov 2016, 25th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2016. Institute of Electrical and Electronics Engineers, p. 99-104 6 p. 7745096. (25th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2016).

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

  39. Published

    Learning soft task priorities for control of redundant robots

    Modugno, V., Neumann, G., Rueckert, E., Oriolo, G., Peters, J. & Ivaldi, S., 8 Jun 2016, 2016 IEEE International Conference on Robotics and Automation, ICRA 2016. Institute of Electrical and Electronics Engineers, p. 221-226 6 p. 7487137. (Proceedings - IEEE International Conference on Robotics and Automation; vol. 2016-June).

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

  40. Published

    Recurrent Spiking Networks Solve Planning Tasks

    Rueckert, E., Kappel, D., Tanneberg, D., Pecevski, D. & Peters, J., 18 Feb 2016, In: Scientific Reports. 6, 21142.

    Research output: Contribution to journalArticleResearchpeer-review

  41. Published

    Learning probabilistic features from EMG data for predicting knee abnormalities

    Kohlschuetter, J., Peters, J. & Rueckert, E., 2016, XIV Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2016. Kyriacou, E., Christofides, S. & Pattichis, C. S. (eds.). Springer Berlin, p. 662-666 5 p. (IFMBE Proceedings; vol. 57).

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

  42. 2015
  43. Published

    Model-free Probabilistic Movement Primitives for physical interaction

    Paraschos, A., Rueckert, E., Peters, J. & Neumann, G., 11 Dec 2015, IROS Hamburg 2015 - Conference Digest: IEEE/RSJ International Conference on Intelligent Robots and Systems. Institute of Electrical and Electronics Engineers, p. 2860-2866 7 p. 7353771. (IEEE International Conference on Intelligent Robots and Systems; vol. 2015-December).

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

  44. Published

    Extracting low-dimensional control variables for movement primitives

    Rueckert, E., Mundo, J., Paraschos, A., Peters, J. & Neumann, G., 29 Jun 2015, In: Proceedings / IEEE International Conference on Robotics and Automation. 2015-June, June, p. 1511-1518 8 p., 7139390.

    Research output: Contribution to journalConference articleResearchpeer-review

  45. Published

    Learning inverse dynamics models with contacts

    Calandra, R., Ivaldi, S., Deisenroth, M. P., Rueckert, E. & Peters, J., 29 Jun 2015, In: Proceedings / IEEE International Conference on Robotics and Automation. 2015-June, June, p. 3186-3191 6 p., 7139638.

    Research output: Contribution to journalConference articleResearchpeer-review

  46. Published

    Robust policy updates for stochastic optimal control

    Rueckert, E., Mindt, M., Peters, J. & Neumann, G., 12 Feb 2015, 2014 IEEE-RAS International Conference on Humanoid Robots, Humanoids 2014. IEEE Computer Society, p. 388-393 6 p. 7041389. (IEEE-RAS International Conference on Humanoid Robots; vol. 2015-February).

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

  47. 2013
  48. Learned parametrized dynamic movement primitives with shared synergies for controlling robotic and musculoskeletal systems

    Rückert, E. & d'Avella, A., 17 Oct 2013, In: Frontiers in computational neuroscience. 7.2013, October, 18 p.

    Research output: Contribution to journalArticleResearchpeer-review

  49. Learned graphical models for probabilistic planning provide a new class of movement primitives

    Rückert, E. A., Neumann, G., Toussaint, M. & Maass, W., 2 Jan 2013, (E-pub ahead of print) In: Frontiers in computational neuroscience. 6.2013, January, 20 p., 97.

    Research output: Contribution to journalArticleResearchpeer-review

  50. Stochastic Optimal Control Methods for Investigating the Power of Morphological Computation

    Rückert, E. A. & Neumann, G., Jan 2013, In: Artificial Life. 19.2013, 1, p. 115–131 17 p.

    Research output: Contribution to journalArticleResearchpeer-review