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Swarm robotics problem tackled with new algorithms for circle formation

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced a new approach to the Min-Max Uniform Circle Formation (MMUCF) problem, focusing on minimizing the maximum distance traveled by individual robots. This problem is crucial for swarm robotics applications like perimeter monitoring and pattern formation. The study proposes deterministic, distributed, and collision-free algorithms designed for the ASYNC model, ensuring robots achieve distinct and equally spaced positions on a target circle. AI

RANK_REASON This is a research paper detailing new algorithms for a specific problem in swarm robotics. [lever_c_demoted from research: ic=1 ai=0.4]

Read on arXiv cs.MA (Multiagent) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Swarm robotics problem tackled with new algorithms for circle formation

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This is a research paper detailing new algorithms for a specific problem in swarm robotics. [lever_c_demoted from research: ic=1 ai=0.4]
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COVERAGE [1]

  1. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Subhash Bhagat ·

    Min-Max Uniform Circle Formation by Asynchronous Mobile Robots

    Given a set of point robots $\mathcal{R}$ in the Euclidean plane and a target circle $\mathbf C$ enclosing all robot positions, the \textsc{Min-Max Uniform Circle Formation (MMUCF)} problem requires the robots to move to distinct positions on $\mathbf C$ such that the final confi…

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