Automated Planning in Non-Linear Domains for Aerospace Applications

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review


Developments in the planning field have enabled automated planners to reason with continuous change. Several planners exist today that can handle linear continuous change, however, scalabiliity remains a challenge for planners capable of reasoning with non-linear domains. This paper applies a novel approach to reasoning with non-linear domains to Aerospace related problems. Using linear over and under estimators to bound the problem, then using well proved scalable linear planners to find a valid plan. The usefulness of the linearizion approach is shown by preprocessing the nonlinear domain to produce a bounding linear domain then solving the planning problem. The advantages and disadvantages of the method are demonstrated on a rocket vertical landing domain, and a solar rover domain.
Original languageEnglish
Title of host publication58th Israel Annual Conference on Aerospace Sciences
Publication statusPublished - 6 Mar 2018


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