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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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Broadcast control of multi-agent systems

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Energy-aware coverage control with docking for robot teams

TL;DR: A distributed, energy-aware control policy aimed at enabling persistent surveillance of a specified region of interest by teams of networked robots is formulated by defining a policy that exploits a power-dependent weighting scheme that embeds an agent's trade-off to achieve its coverage mission and to maintain a desired energy reserve to guarantee its own safety.
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Asynchronous Multiagent Primal-Dual Optimization

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Multiagent Deployment Over a Source

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Distributed policies for equitable partitioning: Theory and applications

TL;DR: This paper designs distributed and adaptive policies to allow a team of agents to achieve a convex and equitable partition of a conveX workspace and exploits the unique features of Power Diagrams.
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Coordination of groups of mobile autonomous agents using nearest neighbor rules

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A robust layered control system for a mobile robot

TL;DR: A new architecture for controlling mobile robots is described, building a robust and flexible robot control system that has been used to control a mobile robot wandering around unconstrained laboratory areas and computer machine rooms.
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