Chair of Cyber Physical Systems (190)
Organisational unit: Chair
Research output
- 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
- Published
Model-free Probabilistic Movement Primitives for physical interaction
Paraschos, A., Rueckert, E., Peters, J. & Neumann, G., 11 Dec 2015, IEEE International Conference on Intelligent Robots and Systems. p. 2860-2866 7 p. (IEEE International Conference on Intelligent Robots and Systems).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- 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
- 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
- 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
- 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
- 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
- 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
- Published
Orientation Probabilistic Movement Primitives on Riemannian Manifolds
Rozo, L. & Dave, V., 8 Nov 2021, Conference on Robot Learning. 5 ed. Vol. 164. p. 373-383 10 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- 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 journal › Conference article › peer-review
