Chair of Cyber Physical Systems (190)
Organisational unit: Chair
Research output
- 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
- 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
- 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
- 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
- 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, p. 99-104. 6 p.Research output: Contribution to conference › Paper › peer-review
- Published
Predictive Models for Copper Content and Energy Consumption in Electric Arc Furnace Operations
Wagermaier, D., 2024Research output: Thesis › Master's Thesis
- 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
- 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
- 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
- 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
