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In this paper we present a generalized algorithm that achieve different tradeoffs on the robots-separation $\rho$ and obstacles-separation $\omega$, all significantly improving upon the state of the art. Specifically, we obtain polynomial-time constant-approximation algorithms to minimize the total path length when (i) $\rho=2\frac{2}{3}$ and $\omega=1\frac{2}{3}$, or (ii) $\rho\approx3.291$ and $\omega\approx1.354$. These solutions are weakly-monotone; we also provide a monotone solution requiring $\omega=\approx1.614$ and $\rho=4$. We prove that monotone plans may not exist when $\omega<1.614$, and weakly-monotone plans may not exist when $\omega<1.354$. We then present tradeoffs between the separation bounds and the approximation factor, specifically achieving an (almost) optimal bound of $\rho=2$ at the cost of a linear approximation factor and requiring $\omega=2$. This applies also for the labeled variant of MRMP, in which case we show a tight bound on $\omega$.
Finally, we show that without any robots-separation assumption, obstacles-separation of at least $1.5$ may be necessary for a solution to exist.
From: Tsuri Farhana [view email]
[v1]
Thu, 19 Mar 2026 22:10:47 UTC (732 KB)
[v2]
Mon, 14 Sep 2026 12:18:30 UTC (850 KB)
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