Chair of Cyber Physical Systems (190)
Organisational unit: Chair
31 - 40 out of 57Page size: 10
Research output
- Published
Development of a Graphical User Interface and Deep Learning Methods for Automated Inspection in a Continuous Casting Steel Plant
Neubauer, M. E., 2023Research output: Thesis › Master's Thesis
- 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
- Published
KIRAMET: AI-based Recycling of Metal Composite Waste
Neubauer, M. & Rückert, E., 6 Jun 2024.Research output: Contribution to conference › Poster › Research
- 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, In: Proceedings - IEEE International Conference on Robotics and Automation. p. 221-226 6 p.Research output: Contribution to journal › Conference article › peer-review
- 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
- 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
- Published
Deep Neural Energy Price Forecasting for the Hydrogen Industry
Lechner, K., 2024Research output: Thesis › Master's Thesis
- 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
- 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
- Published
Learning probabilistic features from EMG data for predicting knee abnormalities
Kohlschuetter, J., Peters, J. & Rueckert, E., 2016, IFMBE Proceedings. p. 662-666 5 p. (IFMBE Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Chapter › Research
