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David Hägele

Herr M. Sc.

David Hägele

Wiss. Mitarbeiter
Visualisierungsinstitut der Universität Stuttgart (VISUS)
Arbeitsgruppe Weiskopf

Kontakt

+49 711 685-88625
E-Mail

Allmandring 19
70569 Stuttgart
Deutschland
Raum: 00.010

Publikationen

2021
1. Hägele, David ; Abdelaal, Moataz ; Oguz, Ozgur S. ; Toussaint, Marc ; Weiskopf, Daniel: Visual analytics for nonlinear programming in robot motion planning. In: Journal of Visualization, Journal of Visualization. (2021)
  BibTeX
  @article{hagele2021visual, abstract = {Nonlinear programming is a complex methodology where a problem is mathematically expressed in terms of optimality while imposing constraints on feasibility. Such problems are formulated by humans and solved by optimization algorithms. We support domain experts in their challenging tasks of understanding and troubleshooting optimization runs of intricate and high-dimensional nonlinear programs through a visual analytics system. The system was designed for our collaborators’ robot motion planning problems, but is domain agnostic in most parts of the visualizations. It allows for an exploration of the iterative solving process of a nonlinear program through several linked views of the computational process. We give insights into this design study, demonstrate our system for selected real-world cases, and discuss the extension of visualization and visual analytics methods for nonlinear programming.}, author = {Hägele, David and Abdelaal, Moataz and Oguz, Ozgur S. and Toussaint, Marc and Weiskopf, Daniel}, doi = {10.1007/s12650-021-00786-8}, issn = {18758975}, journal = {Journal of Visualization}, refid = {Hägele2021}, title = {Visual analytics for nonlinear programming in robot motion planning}, url = {https://doi.org/10.1007/s12650-021-00786-8}, year = 2021 }
  Link
  https://doi.org/10.1007/s12650-021-00786-8
  DOI
  10.1007/s12650-021-00786-8
2020
1. Hägele, David ; Abdelaal, Moataz ; Oguz, Ozgur S. ; Toussaint, Marc ; Weiskopf, Daniel: Visualization of Nonlinear Programming for Robot Motion Planning. In: Proceedings of the 13th International Symposium on Visual Information Communication and Interaction, Proceedings of the 13th International Symposium on Visual Information Communication and Interaction. Eindhoven, Netherlands : Association for Computing Machinery, 2020 — ISBN 9781450387507
  BibTeX
  @inproceedings{haegele2020nonlinear, abstract = {Nonlinear programming targets nonlinear optimization with constraints, which is a generic yet complex methodology involving humans for problem modeling and algorithms for problem solving. We address the particularly hard challenge of supporting domain experts in handling, understanding, and trouble-shooting high-dimensional optimization with a large number of constraints. Leveraging visual analytics, users are supported in exploring the computation process of nonlinear constraint optimization. Our system was designed for robot motion planning problems and developed in tight collaboration with domain experts in nonlinear programming and robotics. We report on the experiences from this design study, illustrate the usefulness for relevant example cases, and discuss the extension to visual analytics for nonlinear programming in general.}, address = {New York, NY, USA}, articleno = {10}, author = {Hägele, David and Abdelaal, Moataz and Oguz, Ozgur S. and Toussaint, Marc and Weiskopf, Daniel}, booktitle = {Proceedings of the 13th International Symposium on Visual Information Communication and Interaction}, doi = {10.1145/3430036.3430050}, isbn = {9781450387507}, location = {Eindhoven, Netherlands}, numpages = {8}, publisher = {Association for Computing Machinery}, series = {VINCI '20}, title = {Visualization of Nonlinear Programming for Robot Motion Planning}, url = {https://doi.org/10.1145/3430036.3430050}, year = 2020 }
  Link
  https://doi.org/10.1145/3430036.3430050
  DOI
  10.1145/3430036.3430050

Lehre

A Curated Collection of Multivariate Timeseries for Visualization Benchmarks (Bachelor Forschungsprojekt)
Programmierung für Medieninformatik (Practical Course)
Datenstrukturen und Algorithmen

David Hägele

Kontakt

Publikationen

2021

BibTeX

Link

DOI

2020

BibTeX

Link

DOI

Lehre

Zielgruppe

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David Hägele

Kontakt

Publikationen

2021

BibTeX

Link

DOI

2020

BibTeX

Link

DOI

Lehre

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Zielgruppe

Formalia

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