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Forming Large Patterns with Local Robots in the OBLOT Model

Symposium on Algorithmic Foundations of Dynamic Networks (AFDN), 2024
Abstract

In the arbitrary pattern formation problem, nn autonomous, mobile robots must form an arbitrary pattern PR2P \subseteq \mathbb{R}^2. The (deterministic) robots are typically assumed to be indistinguishable, disoriented, and unable to communicate. An important distinction is whether robots have memory and/or a limited viewing range. Previous work managed to form PP under a natural symmetry condition if robots have no memory but an unlimited viewing range [22] or if robots have a limited viewing range but memory [25]. In the latter case, PP is only formed in a shrunk version that has constant diameter. Without memory and with limited viewing range, forming arbitrary patterns remains an open problem. We provide a partial solution by showing that PP can be formed under the same symmetry condition if the robots' initial diameter is 1\leq 1. Our protocol partitions PP into rotation-symmetric components and exploits the initial mutual visibility to form one cluster per component. Using a careful placement of the clusters and their robots, we show that a cluster can move in a coordinated way through its component while drawing PP by dropping one robot per pattern coordinate.

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