Elmar Rückert

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Research output

  1. 2024
  2. 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

  3. Published

    KIRAMET: AI-based Recycling of Metal Composite Waste

    Neubauer, M. & Rückert, E., 6 Jun 2024.

    Research output: Contribution to conference › Poster › Research

  4. Published

    Green and blue infrastructure as model system for emissions of technology-critical elements

    Trimmel, S., Spörl, P., Haluza, D., Lashin, N., Meisel, T. C., Pitha, U., Prohaska, T., Puschenreiter, M., Rückert, E., Spangl, B., Wiedenhofer, D. & Irrgeher, J., 20 May 2024, In: Science of the total environment. 934.2024, 15, 15 p., 173364.

    Research output: Contribution to journal › Article › Research › peer-review

  5. 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

  6. 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

  7. Published

    Multimodal Human-Autonomous Agents Interaction Using Pre-Trained Language and Visual Foundation Models

    Nwankwo, L. & Rückert, E., 11 Mar 2024.

    Research output: Contribution to conference › Poster › Research › peer-review

  8. 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

  9. 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

  10. Published

    M2CURL: Sample-Efficient Multimodal Reinforcement Learning via Self-Supervised Representation Learning for Robotic Manipulation

    Lygerakis, F., Dave, V. & Rückert, E., 1 Mar 2024, In: IEEE International Conference on Ubiquitous Robots.

    Research output: Contribution to journal › Conference article › peer-review

  11. Published

    Semi-Autonomous Fast Object Segmentation and Tracking Tool for Industrial Applications

    Neubauer, M. & Rückert, E., 1 Mar 2024, In: IEEE International Conference on Ubiquitous Robots.

    Research output: Contribution to journal › Conference article › peer-review

  12. Published

    The Effects of Different Motor Teaching Strategies on Learning a Complex Motor Task

    Kunavar, T., Jamsek, M., Avila-Mireles, E. J., Rückert, E., Peternel, L. & Babic, J., 15 Feb 2024, In: Sensors. 24.2024, 4, 17 p., 1231.

    Research output: Contribution to journal › Article › Research › peer-review

  13. Published

    Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training

    Dave, V., Lygerakis, F. & Rückert, E., 28 Jan 2024, In: Proceedings / IEEE International Conference on Robotics and Automation.

    Research output: Contribution to journal › Conference article › peer-review

  14. Published

    The Conversation is the Command: Interacting with Real-World Autonomous Robot Through Natural Language

    Nwankwo, L. & Rückert, E., 16 Jan 2024, 19th ACM/IEEE International Conference on Human-Robot Interaction (HRI 2024). Association for Computing Machinery (ACM), (19th ACM/IEEE International Conference on Human-Robot Interaction (HRI 2024)).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  15. 2023
  16. Published

    CR-VAE: Contrastive Regularization on Variational Autoencoders for Preventing Posterior Collapse

    Lygerakis, F. & Rückert, E., 16 Aug 2023, ACM/IEEE International Conference on Human-Robot Interaction. (Asian Conference of Artificial Intelligence Technology (ACAIT)).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  17. Published

    Deep Reinforcement Learning for Mapless Navigation of Autonomous Mobile Robot

    Yadav, H., Xue, H., Rudall , Y., Bakr, M., Hein, B., Rückert, E. & Nguyen, T., 26 Jun 2023, International Conference on System Theory, Control and Computing (ICSTCC). ( International Conference on System Theory, Control and Computing (ICSTCC)).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  18. Published

    Understanding Why SLAM Algorithms Fail in Modern Indoor Environments

    Nwankwo, L. & Rueckert, E., 27 May 2023, International Conference on Robotics in Alpe-Adria-Danube Region (RAAD). p. 186-194 9 p. (International Conference on Robotics in Alpe-Adria-Danube Region (RAAD)).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  19. Published

    ROMR: A ROS-based open-source mobile robot

    Nwankwo, L., Fritze, C., Bartsch, K. & Rückert, E., 6 May 2023, In: HardwareX. 14.2023, June, 24 p., e00426.

    Research output: Contribution to journal › Article › Research › peer-review

  20. 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

  21. Published

    Physics-informed neural network for predicting Gibbs free energy

    Vincely, C., Sakic, A., Dave, V., Povoden-Karadeniz, E., Rückert, E. & Holec, D., 2023.

    Research output: Contribution to conference › Poster › Research

  22. 2022
  23. Published

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

    Dave, V. & Rückert, E., 26 Sept 2022, IEEE-RAS International Conference on Humanoid Robots. (IEEE-RAS International Conference on Humanoid Robots).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  24. 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 Sept 2022, IEEE-RAS International Conference on Humanoid Robots. (IEEE-RAS International Conference on Humanoid Robots).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  25. Published

    Predicting full-arm grasping motions from anticipated tactile responses

    Dave, V. & Rueckert, E., 26 Sept 2022, IEEE-RAS International Conference on Humanoid Robots. (IEEE-RAS International Conference on Humanoid Robots).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  26. 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

  27. 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 : open access journal. 12.2022, 6, 30 p., 3153.

    Research output: Contribution to journal › Article › Research › peer-review

  28. 2021
  29. 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, In: Proceedings of the International Conference on Advanced Robotics. p. 1109-1115 7 p.

    Research output: Contribution to journal › Conference article › peer-review

  30. 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 Sept 2021, In: Frontiers in robotics and AI. 8.2021, 18 p., 721890.

    Research output: Contribution to journal › Article › Research › peer-review

  31. 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 proceeding › Chapter › Research

  32. 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 journal › Article › Research › peer-review

  33. 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 journal › Article › Research › peer-review

  34. 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

  35. 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 journal › Article › Research › peer-review

  36. 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

  37. 2020
  38. 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 journal › Article › Research › peer-review

  39. Published

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

    Rottmann, N., Bruder, R., Schweikard, A. & Rueckert, E., 25 Oct 2020.

    Research output: Contribution to conference › Paper › peer-review

  40. Published

    Learning hierarchical acquisition functions for bayesian optimization

    Rottmann, N., Kunavar, T., Babic, J., Peters, J. & Rueckert, E., 24 Oct 2020, IEEE International Conference on Intelligent Robots and Systems. p. 5490-5496 7 p. (IEEE International Conference on Intelligent Robots and Systems).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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

    Çallar, T. C., Rueckert, E. & Böttger, S., 1 Sept 2020, In: Current directions in biomedical engineering. 6.2020, 3, 4 p., 20203031.

    Research output: Contribution to journal › Article › Research › peer-review

  42. 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 journal › Article › Research › peer-review

  43. 2019
  44. Published

    Experience Reuse with Probabilistic Movement Primitives

    Stark, S., Peters, J. & Rueckert, E., Nov 2019, IEEE International Conference on Intelligent Robots and Systems. p. 1210-1217 8 p. (IEEE International Conference on Intelligent Robots and Systems).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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

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

    Research output: Contribution to journal › Article › Research › peer-review

  46. Published

    Loop closure detection in closed environments

    Rottmann, N., Bruder, R., Schweikard, A. & Rueckert, E., Sept 2019.

    Research output: Contribution to conference › Paper › peer-review

  47. 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 journal › Article › Research › peer-review

  48. Published

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

    Rottmann, N., Bruder, R., Schweikard, A. & Rueckert, E., 2019, p. 214-223. 10 p.

    Research output: Contribution to conference › Paper › peer-review

  49. Published

    REAL-2019: Robot open-Ended Autonomous Learning competition

    Cartoni, E., Mannella, F., Santucci, V. G., Triesch, J., Rückert, E. & Baldassarre, G., 2019, Proceedings of Machine Learning Research: 3rd Annual Conference on Neural Information Processing Systems, NeurIPS 2019. Vol. 123.2019. p. 142-152 11 p. (Proceedings of Machine Learning Research).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  50. 2018

  51. 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 journal › Article › Research › peer-review

  52. 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 journal › Article › Research › peer-review

  53. 2017
  54. Published

    A comparison of distance measures for learning nonparametric motor skill libraries

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

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  55. Published

    Efficient online adaptation with stochastic recurrent neural networks

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

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  56. Published

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

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

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  57. 2016
  58. Published

    Deep spiking networks for model-based planning in humanoids

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

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  59. Published

    Model estimation and control of compliant contact normal force

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

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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