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Black-box accuracy compensation for a cable-driven parallel robot

V. Schmidt, W. Kraus, C. Martin, X. Jin, and A. Pott. 17th International Conference on Control, Automation and Systems (ICCAS), page 428--431. (2017)

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Christoph Schulz University of Stuttgart

Hon. -Prof. Christoph Müller University of Stuttgart

Dr. -Ing. Christoph Wenzel University of Stuttgart

Christoph Jeromin University of Stuttgart

Dr.-Ing. Christoph Steinhausen University of Stuttgart

Other publications of authors with the same name

Influence of measurement errors on networks: Estimating the robustness of centrality measures.C. Martin, and P. Niemeyer. Network Science, 7 (2): 180-195 (2019)A nullspace-based force correction method to improve the dynamic performance of cable-driven parallel robotsM. Fabritius, G. Rubio-Gómez, C. Martin, J. Santos, W. Kraus, and A. Pott. Mechanism and machine theory, 181 (March): 105177 (2023)A generic data structure for the specific domain of robotic arc weldingA. Schmidt, C. Martin, T. Dietz, and A. Pott. 51st CIRP Conference on Manufacturing Systems, Procedia CIRP, page 322-327. Elsevier, (2018)Collecting, Integrating, Enriching and Republishing Open City Data as Linked Data.S. Bischof, C. Martin, A. Polleres, and P. Schneider. International Semantic Web Conference (2), volume 9367 of Lecture Notes in Computer Science, page 57-75. Springer, (2015)Estimating the sensitivity of centrality measures w.r.t. measurement errors.C. Martin, and P. Niemeyer. CoRR, (2017)Black-box accuracy compensation for a cable-driven parallel robotV. Schmidt, W. Kraus, C. Martin, X. Jin, and A. Pott. 17th International Conference on Control, Automation and Systems (ICCAS), page 428--431. (2017)The Impact of Partially Missing Communities on the Reliability of Centrality Measures.C. Martin. COMPLEX NETWORKS, volume 689 of Studies in Computational Intelligence, page 41-52. Springer, (2017)Comparing the sensitivity of social networks, web graphs, and random graphs with respect to vertex removal.C. Martin, and P. Niemeyer. CoRR, (2014)The Role of Network Size for the Robustness of Centrality Measures.C. Martin, and P. Niemeyer. COMPLEX NETWORKS (1), volume 881 of Studies in Computational Intelligence, page 40-51. Springer, (2019)Comparing the Sensitivity of Social Networks, Web Graphs, and Random Graphs with Respect to Vertex Removal.C. Martin, and P. Niemeyer. SITIS, page 460-467. IEEE Computer Society, (2015)