Publikationen

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2020
Veröffentlicht
Evolutionary training and abstraction yields algorithmic generalization of neural computers
Tanneberg, D., Rückert, E. & Peters, J., 16 Nov. 2020, in: Nature machine intelligence.
Publikationen: Beitrag in Fachzeitschrift › Artikel › Forschung › (peer-reviewed)
Veröffentlicht
Exploiting Chlorophyll Fluorescense for building robust low-cost Mowing Area Detectors
Rottmann, N., Bruder, R., Schweikard, A. & Rueckert, E., 25 Okt. 2020.
Publikationen: Konferenzbeitrag › Paper › (peer-reviewed)
Veröffentlicht
Learning hierarchical acquisition functions for bayesian optimization
Rottmann, N., Kunavar, T., Babic, J., Peters, J. & Rueckert, E., 24 Okt. 2020, IEEE International Conference on Intelligent Robots and Systems. S. 5490-5496 7 S. (IEEE International Conference on Intelligent Robots and Systems).
Publikationen: Beitrag in Buch/Bericht/Konferenzband › Beitrag in Konferenzband
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 S., 20203031.
Publikationen: Beitrag in Fachzeitschrift › Artikel › Forschung › (peer-reviewed)
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 (e-only). 6.2016, 1, 12 S., 28455 / 6694.
Publikationen: Beitrag in Fachzeitschrift › Artikel › Forschung › (peer-reviewed)
2019
Veröffentlicht
Experience Reuse with Probabilistic Movement Primitives
Stark, S., Peters, J. & Rueckert, E., Nov. 2019, IEEE International Conference on Intelligent Robots and Systems. S. 1210-1217 8 S. (IEEE International Conference on Intelligent Robots and Systems).
Publikationen: Beitrag in Buch/Bericht/Konferenzband › Beitrag in Konferenzband
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, S. 145-148 4 S.
Publikationen: Beitrag in Fachzeitschrift › Artikel › Forschung › (peer-reviewed)
Veröffentlicht
Loop closure detection in closed environments
Rottmann, N., Bruder, R., Schweikard, A. & Rueckert, E., Sept. 2019.
Publikationen: Konferenzbeitrag › Paper › (peer-reviewed)
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, S. 67-80 14 S.
Publikationen: Beitrag in Fachzeitschrift › Artikel › Forschung › (peer-reviewed)
Veröffentlicht
Cataglyphis ant navigation strategies solve the global localization problem in robots with binary sensors
Rottmann, N., Bruder, R., Schweikard, A. & Rueckert, E., 2019, S. 214-223. 10 S.
Publikationen: Konferenzbeitrag › Paper › (peer-reviewed)

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Forschungsportal

Publikationen

Evolutionary training and abstraction yields algorithmic generalization of neural computers

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

Learning hierarchical acquisition functions for bayesian optimization

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

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

Experience Reuse with Probabilistic Movement Primitives

Medical robotics simulation framework for application-specific optimal kinematics

Loop closure detection in closed environments

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

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

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