Parameterized Algorithms for Coordinated Motion Planning: Minimizing Energy
Argyrios Deligkas, Eduard Eiben, Robert Ganian, Iyad Kanj, M. S. Ramanujan

TL;DR
This paper develops parameterized algorithms for energy-efficient coordinated motion planning on graphs, extending results beyond grids, and establishes fixed-parameter tractability for certain graph classes while providing lower bounds for others.
Contribution
It introduces novel fixed-parameter algorithms for motion planning problems parameterized by robot count and graph properties, surpassing previous grid-restricted results.
Findings
Fixed-parameter additive approximation algorithm for energy minimization.
Fixed-parameter algorithm for single robot routing avoiding others.
Fixed-parameter algorithm for multi-robot routing on graphs of bounded treewidth.
Abstract
We study the parameterized complexity of a generalization of the coordinated motion planning problem on graphs, where the goal is to route a specified subset of a given set of robots to their destinations with the aim of minimizing the total energy (i.e., the total length traveled). We develop novel techniques to push beyond previously-established results that were restricted to solid grids. We design a fixed-parameter additive approximation algorithm for this problem parameterized by alone. This result, which is of independent interest, allows us to prove the following two results pertaining to well-studied coordinated motion planning problems: (1) A fixed-parameter algorithm, parameterized by , for routing a single robot to its destination while avoiding the other robots, which is related to the famous Rush-Hour Puzzle; and (2) a fixed-parameter algorithm, parameterized…
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