Visualization of Nonlinear Programming for Robot Motion Planning
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-...
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Published in | arXiv.org |
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Main Authors | , , , , |
Format | Paper Journal Article |
Language | English |
Published |
Ithaca
Cornell University Library, arXiv.org
28.01.2021
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Online Access | Get full text |
ISSN | 2331-8422 |
DOI | 10.48550/arxiv.2101.12075 |
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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. |
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AbstractList | 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. Proceedings of the 13th International Symposium on Visual Information Communication and Interaction (2020), Article No. 10, Pages 1-8 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. |
Author | Hägele, David Weiskopf, Daniel Toussaint, Marc Abdelaal, Moataz Oguz, Ozgur S |
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BackLink | https://doi.org/10.1145/3430036.3430050$$DView published paper (Access to full text may be restricted) https://doi.org/10.48550/arXiv.2101.12075$$DView paper in arXiv |
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SubjectTerms | Algorithms Computer Science - Human-Computer Interaction Computer Science - Numerical Analysis Computer Science - Robotics Domains Mathematics - Numerical Analysis Motion planning Nonlinear analysis Nonlinear programming Optimization Problem solving Robot dynamics Robotics Subject specialists Troubleshooting |
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Title | Visualization of Nonlinear Programming for Robot Motion Planning |
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