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Publikationen

Zeige Ergebnisse 3681 bis 3690 von 14799.

  1. Florian Stuhlenmiller; Debora Clever; Stephan Rinderknecht; Michael Lutter; Jan Peters

    Trajectory Optimization of Energy Consumption and Expected Service Life of a Robotic System

    In: 2021 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM-2021), July 12-16, Delft, Netherlands, Pages 842-847, IEEE, 2021.

  2. Samuel Bustamante; Jan Peters; Bernhard Schölkopf; Moritz Grosse-Wentrup; Vinay Jayaram

    ArmSym: A Virtual Human-Robot Interaction Laboratory for Assistive Robotics

    In: IEEE Transactions on Human-Machine Systems, Vol. 51, No. 6, Pages 568-577, IEEE, 2021.

  3. Daniel Tanneberg; Kai Ploeger; Elmar Rueckert; Jan Peters

    SKID RAW: Skill Discovery From Raw Trajectories

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 6, No. 3, Pages 4696-4703, IEEE, 2021.

  4. Fabio Muratore; Christian Eilers; Michael Gienger; Jan Peters

    Data-Efficient Domain Randomization With Bayesian Optimization

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 6, No. 2, Pages 911-918, IEEE, 2021.

  5. Fabio Muratore; Michael Gienger; Jan Peters

    Assessing Transferability From Simulation to Reality for Reinforcement Learning

    In: IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 43, No. 4, Pages 1172-1183, IEEE, 2021.

  6. Daniel Tanneberg; Elmar Rueckert; Jan Peters

    Evolutionary Training and Abstraction Yields Algorithmic Generalization of Neural Computers

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2105.07957, Pages 0-10, arXiv, 2021.

  7. Joe Watson; Hany Abdulsamad; Rolf Findeisen; Jan Peters

    Stochastic Control through Approximate Bayesian Input Inference

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2105.07693, Pages 0-10, arXiv, 2021.

  8. Stephan Weigand; Pascal Klink; Jan Peters; Joni Pajarinen

    Reinforcement Learning using Guided Observability

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2104.10986, Pages 0-10, arXiv, 2021.

  9. Patrick Trampert; Dmitri Rubinstein; Faysal Boughorbel; Christian Schlinkmann; Maria Luschkova; Philipp Slusallek; Tim Dahmen; Stefan Sandfeld

    Deep Neural Networks for Analysis of Microscopy Images—Synthetic Data Generation and Adaptive Sampling

    In: Paolo Olivero (Hrsg.). Crystals, Vol. 11, No. 258, Pages 1-13, MDPI, 3/2021.

  10. Philipp Koch; Kamran Mohammad-Zadeh; Marco Maass; Mark Dreier; Ole Thomsen; Tim J. Parbs; Huy Phan; Alfred Mertins

    sEMG-Based Hand Movement Regression by Prediction of Joint Angles With Recurrent Neural Networks

    In: 43nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC-2021), November 1-5, Pages 6519-6523, IEEE, 2021.

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