Coordinated Motion Planning: Reconfiguring a Swarm of Labeled Robots with Bounded Stretch
Erik D. Demaine, S\'andor P. Fekete, Phillip Keldenich, Henk, Meijer, Christian Scheffer

TL;DR
This paper introduces constant-factor approximation algorithms for parallel motion planning of labeled convex robots, achieving near-optimal reconfiguration times under certain separability conditions, and analyzes complexity and bounds for various scenarios.
Contribution
It provides the first constant-factor approximation algorithms for parallel reconfiguration of labeled robots and establishes complexity and stretch bounds for dense packings.
Findings
Achieves constant stretch factor for reconfiguration without obstacles
Proves NP-hardness of minimal execution time planning
Establishes bounds on stretch factor for dense packings
Abstract
We present a number of breakthroughs for coordinated motion planning, in which the objective is to reconfigure a swarm of labeled convex objects by a combination of parallel, continuous, collision-free translations into a given target arrangement. Problems of this type can be traced back to the classic work of Schwartz and Sharir (1983), who gave a method for deciding the existence of a coordinated motion for a set of disks between obstacles; their approach is polynomial in the complexity of the obstacles, but exponential in the number of disks. Other previous work has largely focused on {\em sequential} schedules, in which one robot moves at a time. We provide constant-factor approximation algorithms for minimizing the execution time of a coordinated, {\em parallel} motion plan for a swarm of robots in the absence of obstacles, provided some amount of separability. Our algorithm…
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