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Gathering Autonomous Mobile Robots Under the Adversarial Defected View Model

Prakhar Shukla, Seshunadh Tanuj Peddinti, Subhash Bhagat

TL;DR

This paper studies the gathering problem for a set of autonomous mobile robots operating in the Euclidean plane under the distributed Look-Compute-Move model and proves finite-time gathering in the adversarial defected view setting, resolving a previously open case without requiring additional capabilities or coordinate agreement.

Abstract

This paper studies the gathering problem for a set of $N \ge 2$ autonomous mobile robots operating in the Euclidean plane under the distributed Look-Compute-Move model. We consider oblivious robots executing under the adversarial defected view model, in which an activated robot may observe only a restricted subset of robots due to adversarial visibility faults. Consequently, the information obtained during each Look phase may be incomplete and dynamically altered. The objective is to guarantee deterministic finite-time gathering at a location not known a priori despite such sensing restrictions. We present two distributed algorithms under distinct scheduling assumptions. In the fully synchronous (FSYNC) model, we prove finite-time gathering in the adversarial (4, 2) defected view setting, resolving a previously open case without requiring additional capabilities or coordinate agreement. In the asynchronous (ASYNC) model, we establish finite-time gathering under the general adversarial (N, K) defected view model, where an activated robot observes at most K of the other $N - 1$ robots for any $1 \le K < N - 1$. Both results hold under non-rigid motion. The proposed algorithm for the ASYNC model assumes agreement in the direction and orientation of one coordinate axis.

Gathering Autonomous Mobile Robots Under the Adversarial Defected View Model

TL;DR

This paper studies the gathering problem for a set of autonomous mobile robots operating in the Euclidean plane under the distributed Look-Compute-Move model and proves finite-time gathering in the adversarial defected view setting, resolving a previously open case without requiring additional capabilities or coordinate agreement.

Abstract

This paper studies the gathering problem for a set of autonomous mobile robots operating in the Euclidean plane under the distributed Look-Compute-Move model. We consider oblivious robots executing under the adversarial defected view model, in which an activated robot may observe only a restricted subset of robots due to adversarial visibility faults. Consequently, the information obtained during each Look phase may be incomplete and dynamically altered. The objective is to guarantee deterministic finite-time gathering at a location not known a priori despite such sensing restrictions. We present two distributed algorithms under distinct scheduling assumptions. In the fully synchronous (FSYNC) model, we prove finite-time gathering in the adversarial (4, 2) defected view setting, resolving a previously open case without requiring additional capabilities or coordinate agreement. In the asynchronous (ASYNC) model, we establish finite-time gathering under the general adversarial (N, K) defected view model, where an activated robot observes at most K of the other robots for any . Both results hold under non-rigid motion. The proposed algorithm for the ASYNC model assumes agreement in the direction and orientation of one coordinate axis.
Paper Structure (19 sections, 11 theorems, 10 equations, 14 figures, 1 table, 2 algorithms)

This paper contains 19 sections, 11 theorems, 10 equations, 14 figures, 1 table, 2 algorithms.

Key Result

lemma 1

If robots are collinear, then at least two robots compute the same midpoint and all the collinear robots gather at a single point in a finite number of rounds.

Figures (14)

  • Figure 1: Solid points represent the robots observed by the active robot $r_i$, and (o) denotes the missed robots by $r_i$.
  • Figure 2: An edge between two positions does not imply mutual visibility. Arrows indicate the observation relationships among the robots.
  • Figure 7: $\mathbb{P}(t)$ is collinear.
  • Figure 8: (An illustration of Lemma \ref{['1.2']}) The convex hull $CH(t)$ contains neither equilateral nor isosceles triangle.
  • Figure 9: An example showing the non-rigid movement of robots towards the respective destination points.
  • ...and 9 more figures

Theorems & Definitions (20)

  • lemma 1
  • proof
  • lemma 2
  • proof
  • lemma 3
  • proof
  • lemma 4
  • proof
  • lemma 5
  • proof
  • ...and 10 more