Pareto Optimal Coordination on Roadmaps

نویسندگان

  • Robert Ghrist
  • Jason M. O'Kane
  • Steven M. LaValle
چکیده

Given a collection of robots sharing a common environment, assume that each possesses an individual roadmap for its C-space and a cost function for attaining a goal. Vector-valued (or Pareto) optima for collision-free coordination are by no means unique: in fact, continua of optimal coordinations are possible. However, for cylindrical obstacles (those defined by pairwise interactions), we prove a finite bound on the number of optimal coordinations. For such systems, we present an exact subquadratic algorithm for reducing a coordination scheme to its Pareto optimal representative.

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تاریخ انتشار 2004