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Publikationen

Zeige Ergebnisse 941 bis 950 von 13872.

  1. Shivesh Kumar; Rohit Kumar; Mareike Förster; Andreas Müller; Frank Kirchner

    HyRoDyn: Hybrid Robot Dynamics

    In: Shivesh Kumar; Andreas Müller; Frank Kirchner. Biologically Inspired Series-Parallel Hybrid Robots. Chapter 18, Pages 397-425, Vol. 514, ISBN 978-0-323-88482-2, Elsevier, 11/2024.

  2. Melya Boukheddimi; Rohit Kumar; Shivesh Kumar; Justin Carpentier; Frank Kirchner

    Whole-body trajectory optimization

    In: Shivesh Kumar; Andreas Müller; Frank Kirchner. Biologically Inspired Series-Parallel Hybrid Robots. Chapter 10, Pages 213-229, Vol. 514, ISBN 978-0-323-88482-2, Elsevier, 11/2024.

  3. Gabriele Fadini; Shivesh Kumar; Rohit Kumar; Thomas Flayols; Andrea Del Prete; Justin Carpentier; Philippe Souères

    Co-designing versatile quadruped robots for dynamic and energy-efficient motions

    In: Robotica, Vol. 42, No. 6, Pages 2004-2025, Cambridge University Press, 5/2024.

  4. Rohit Kumar; Shivesh Kumar; Andreas Müller; Frank Kirchner

    Forward dynamics with constraint embedding for dynamic simulation

    In: Shivesh Kumar; Andreas Müller; Frank Kirchner. Biologically Inspired Series-Parallel Hybrid Robots. Chapter 8, Pages 179-194, Vol. 514, ISBN 978-0-323-88482-2, Elsevier, 11/2024.

  5. Shivesh Kumar; Rohit Kumar; Andreas Müller; Frank Kirchner

    Modular algorithms for kinematics and dynamics of series-parallel hybrid robots

    In: Shivesh Kumar; Andreas Müller; Frank Kirchner. Biologically Inspired Series-Parallel Hybrid Robots. Chapter 7, Pages 145-177, Vol. 514, ISBN 978-0-323-88482-2, Elsevier, 11/2024.

  6. Brian Moser; Arundhati Shanbhag; Federico Raue; Stanislav Frolov; Sebastian Palacio; Andreas Dengel

    Diffusion Models, Image Super-Resolution, and Everything: A Survey

    In: IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Vol. 0, Pages 1-21, IEEE, 2024.

  7. Alexander Schultheis

    Exploring a Hybrid Case-Based Reasoning Approach for Time Series Adaptation in Predictive Maintenance

    In: Lukas Malburg (Hrsg.). Proceedings of the Workshops at the 32nd International Conference on Case-Based Reasoning (ICCBR-WS 2024). International Conference on Case-Based Reasoning (ICCBR-2024), co-located with the 31st International Conference on Case-Based Reasoning (ICCBR 2024), located at 31st International Conference on Case-Based Reasoning (ICCBR 2024), July 1-5, Merida, Mexico, CEUR Workshop Proceedings, CEUR-WS.org. 7/2024.

  8. Jibinraj Antony; Dorotea Jalu¨ić; Simon Bergweiler; Ákos Hajnal; Veronika ´labravec; Márk Emődi; Dejan Strbad; Tatjana Legler; Attila Csaba Marosi

    Adapting to Changes: A Novel Framework for Continual Machine Learning in Industrial Applications

    In: Journal of Grid Computing, Vol. 22 (71), Pages 1-19, Springer, 11/2024.

  9. Vinit Vikas Hegiste; Tatjana Legler; Martin Ruskowski

    Towards Robust Federated Image Classification: An Empirical Study of Weight Selection Strategies in Manufacturing

    In: 2024 2nd International Conference on Federated Learning Technologies and Applications (FLTA). International Conference on Federated Learning Technologies and Applications (FLTA-2024), September 17-20, Valencia, Spain, Pages 55-62, IEEE, 2024.

  10. Tatjana Legler; Vinit Vikas Hegiste; Martin Ruskowski

    Seamless Integration: Sampling Strategies in Federated Learning Systems

    In: 2024 2nd International Conference on Federated Learning Technologies and Applications (FLTA). International Conference on Federated Learning Technologies and Applications (FLTA-2024), September 17-20, Valencia, Spain, Pages 148-155, IEEE, 2024.

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