Multi-robot systems optimization and analysis using MILP and CLP
Christian Reinl, Florian Ruh, Frieder Stolzenburg, and Oskar von Stryk
Formal methods for multi-robot system analysis, especially logic-based methods, operate on discrete models. Optimization methods for
simultaneous trajectory and task allocation, namely mixed integer dynamic optimization, operate on hybrid dynamical models which take into
account a model of the motion dynamics of the physical robot. In this paper, ongoing work towards a coherent treatment of both approaches
is described. A benchmark problem from robot soccer is introduced and used as an illustrative example.
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