David Hägele, Moataz Abdelaal, Ozgur Oguz, Marc Toussaint und Daniel Weiskopf erhielten den Best Paper Award auf dem 13. Forum des "International Symposium on Visual Information Communication and Interaction (VINCI)" für ihre Publikation "Visualization of Nonlinear Programming for Robot Motion Planning". Herzlichen Glückwunsch!
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.
Über VINCI
Auf dem 13. Symposium, das vom 8. bis 10. Dezember 2020 in Eindhoven (Niederlande) stattfand, wurden die neuesten Theorien, Designs und Anwendungen in der visuellen Kommunikation von Wissenschaftler*innen aus Theorie und Praxis auf internationaler Ebene diskutiert.
Publikation "Visualization of Nonlinear Programming for Robot Motion Planning"