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Coverage control for mobile sensing networks

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TLDR
This paper proposes gradient descent algorithms for a class of utility functions which encode optimal coverage and sensing policies which are adaptive, distributed, asynchronous, and verifiably correct.
Abstract
This paper presents control and coordination algorithms for groups of vehicles. The focus is on autonomous vehicle networks performing distributed sensing tasks where each vehicle plays the role of a mobile tunable sensor. The paper proposes gradient descent algorithms for a class of utility functions which encode optimal coverage and sensing policies. The resulting closed-loop behavior is adaptive, distributed, asynchronous, and verifiably correct.

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Citations
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Stability of multiagent systems with time-dependent communication links

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Distributed Control of Robotic Networks: A Mathematical Approach to Motion Coordination Algorithms

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References
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Proceedings ArticleDOI

A distributed control framework for a team of unmanned aerial vehicles for dynamic wildfire tracking

TL;DR: In this paper, a distributed control framework is proposed for a team of UAVs that can closely monitor a wildfire in open space, and precisely track its development, which can effectively avoid in-flight collisions and cooperate well with neighbors.
Proceedings ArticleDOI

Towards the deployment of a mobile robot network with end-to-end performance guarantees

TL;DR: An experimental study of strategies for maintaining end-to-end communication links for tasks such as surveillance and search and rescue where team connectivity is essential for providing situational awareness to a base station.
Journal ArticleDOI

Adapting to sensing and actuation variations in multi-robot coverage

TL;DR: This article presents an algorithm that learns the relative performance variations among the robots online, in a distributed fashion, and automatically compensates by assigning the weak robots a smaller portion of the environment and the strong robots a larger portion, and shows that the robots converge to a locally optimal coverage configuration.
Book ChapterDOI

A multi-robot coverage approach based on stigmergic communication

TL;DR: A novel approach for multi-robot coverage is described which is based on the principle of pheromone-based communication, called StiCo, which shows several desirable features such as robustness, scalability and functional extensibility.
Journal ArticleDOI

Theories and Algorithms of Coverage Control for Wireless Sensor Networks

TL;DR: The coverage control problem is captured, some recent novel theories and algorithms for wireless sensor networks coverage control problems are reviewed, and the taxonomy is described.
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