Evolutionary computation algorithms are increasingly being used to solve optimization problems as they have many advantages over traditional optimization algorithms. In this paper...
Matthew J. Berryman, Wei-Li Khoo, Hiep Nguyen, Eri...
We develop a decision-theoretic method that yields approximate, low cost troubleshooting plans by making more relevant observations and devoting more time to generate a plan. The ...
We describe the design of a user-centric, integrated planning and scheduling system that assists the user in exploring the rich space of plans and associated resource assignment o...
Pauline M. Berry, Blazej Bulka, Bart Peintner, Mar...
Abstract. Autonomous agents operating in complex dynamic environments need the ability to integrate robust plan execution with higher level reasoning. This paper describes work to ...
Simon Parsons, Ola Pettersson, Alessandro Saffiott...
Abstract— The mapping and localization problems have received considerable attention in robotics recently. The exploration problem that drives mapping has started to generate sim...