Research output

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  1. 2020
  2. 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

  3. 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

  4. 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

  5. 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

  6. 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 p., 28455 / 6694.

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

  7. 2019
  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

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