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Ari K. Jonsson
Researcher at Ames Research Center
Publications - 40
Citations - 2092
Ari K. Jonsson is an academic researcher from Ames Research Center. The author has contributed to research in topics: Space exploration & Exploration of Mars. The author has an hindex of 20, co-authored 40 publications receiving 2028 citations. Previous affiliations of Ari K. Jonsson include Research Institute for Advanced Computer Science.
Papers
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Proceedings Article
Planning in interplanetary space: theory and practice
TL;DR: This paper describes the RAX Planner/Scheduler (RAX-PS), both in terms of the underlying planning framework and the fielded planner, as a system capable of building concurrent plans with over a hundred tasks within the performance requirements of operational, mission-critical software.
Book
Bridging the Gap Between Planning and Scheduling
TL;DR: This paper gives an overview of AI planning and scheduling techniques, focusing on their similarities, differences, and limitations, and argues that many difficult practical problems lie somewhere between plans and scheduling, and that neither area has the right set of tools for solving these vexing problems.
Journal ArticleDOI
Constraint-Based Attribute and Interval Planning
Jeremy Frank,Ari K. Jonsson +1 more
TL;DR: This paper provides a theoretical foundation for the CAIP paradigm, a paradigm for representing and reasoning about plans, and shows how the plans are naturally expressed by networks of constraints, and that the process of planning maps directly to dynamic constraint reasoning.
Journal ArticleDOI
MAPGEN: mixed-initiative planning and scheduling for the Mars Exploration Rover mission
Mitchell Ai-Chang,John L. Bresina,L. Charest,A. Chase,Jennifer Hsu,Ari K. Jonsson,Bob Kanefsky,Paul Morris,Kanna Rajan,Jeffrey Yglesias,B.G. Chafin,W.C. Dias,P.F. Maldague +12 more
TL;DR: MAPGEN is the first AI-based system to control a space platform on another planet's surface and discusses the issues arising from combining these tools in this mission's context.
Proceedings Article
Planning and Scheduling for Fleets of Earth Observing Satellites
TL;DR: This paper presents a constraint-based approach to solving the Earth Observing Satellites (EOS) scheduling problem, and proposes a stochastic heuristic search method for solving it.