Research output
-
Generalizable and Fast Surrogates: Model Predictive Control of Articulated Soft Robots using Physics-Informed Neural Networks
Habich, T. L., Mohammad, A., Ehlers, S. F. G., Bensch, M., Seel, T. & Schappler, M., 16 Jan 2026, In: IEEE Transactions on Robotics. 42, p. 619 - 636 18 p.Research output: Contribution to journal › Article › Research › peer review
Open Access -
SafePR: Unified Approach for Safe Parallel Robots by Contact Detection and Reaction with Redundancy Resolution
Mohammad, A., Habich, T. L., Seel, T. & Schappler, M., 2026, In: IEEE transactions on robotics. 42, p. 1784-1803 20 p.Research output: Contribution to journal › Article › Research › peer review
-
A Modular and Open-Source Remote Laboratory for Practical Education on Mechatronic Test Benches
Sterneck, T., Zumsande, J., Habich, T. L., Mohammad, A., Ehlers, S., Schappler, M. & Seel, T., 29 Aug 2025, Robotics in Education - Proceedings of the RiE 2025 Conference. Balogh, R., Obdržálek, D. & Fachantidis, N. (eds.). Springer Science and Business Media Deutschland GmbH, p. 460-473 14 p. (Lecture Notes in Networks and Systems; vol. 1544 LNNS).Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
-
Combined structural and dimensional synthesis of task-specific parallel-robot manipulators: functional redundancy and design optimization
Schappler, M., 7 May 2025, Hannover: Leibniz Universität Hannover. 284 p.Research output: Thesis › Doctoral thesis
Open Access -
Dimensional Synthesis of Parallel Robots Using Bilevel Optimization for Design Optimization and Resolution of Functional Redundancy
Schappler, M., 4 Mar 2025, In: Robotics. 14, 3, 71 p., 29.Research output: Contribution to journal › Article › Research › peer review
Open Access
Datasets
-
Combined Structural and Dimensional Synthesis for a Parallel Handling Robot
Schappler, M. (Creator), Forschungsdaten-Repositorium der LUH, 3 Mar 2025
DOI: 10.25835/76g8d6a8, https://data.uni-hannover.de/dataset/7f373999-7f5e-4712-9e06-4f2ca15e68d5
Dataset
-
Combined Structural and Dimensional Synthesis for Parallel Robot as a Naval Testbed
Schappler, M. (Creator), Forschungsdaten-Repositorium der LUH, 3 Mar 2025
DOI: 10.25835/00p7zgvk, https://data.uni-hannover.de/dataset/e31b9079-25c6-4c00-85c8-c679b8350636
Dataset