%0 Conference Paper %1 haegele2020nonlinear %A Hägele, David %A Abdelaal, Moataz %A Oguz, Ozgur S. %A Toussaint, Marc %A Weiskopf, Daniel %B Proceedings of the 13th International Symposium on Visual Information Communication and Interaction %C New York, NY, USA %D 2020 %I Association for Computing Machinery %K myown peer rp12 visus:abdelamz visus:haegeldd visus:weiskopf %R 10.1145/3430036.3430050 %T Visualization of Nonlinear Programming for Robot Motion Planning %U https://doi.org/10.1145/3430036.3430050 %X 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. %@ 9781450387507

@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.}, added-at = {2021-02-01T18:29:03.000+0100}, address = {New York, NY, USA}, articleno = {10}, author = {Hägele, David and Abdelaal, Moataz and Oguz, Ozgur S. and Toussaint, Marc and Weiskopf, Daniel}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/219f1783cd30a683b718cca916c37d08a/haegeldd}, booktitle = {Proceedings of the 13th International Symposium on Visual Information Communication and Interaction}, doi = {10.1145/3430036.3430050}, interhash = {fa696f3346fc29c3bf342023bb287195}, intrahash = {19f1783cd30a683b718cca916c37d08a}, isbn = {9781450387507}, keywords = {myown peer rp12 visus:abdelamz visus:haegeldd visus:weiskopf}, location = {Eindhoven, Netherlands}, numpages = {8}, publisher = {Association for Computing Machinery}, series = {VINCI '20}, timestamp = {2021-02-01T17:29:03.000+0100}, title = {Visualization of Nonlinear Programming for Robot Motion Planning}, url = {https://doi.org/10.1145/3430036.3430050}, year = 2020 }