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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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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

Multi-objective compositions for collision-free connectivity maintenance in teams of mobile robots

TL;DR: The compositional barrier functions are applied to the example of ensuring collision avoidance and static/dynamical graph connectivity of teams of mobile robots.

Coverage control for mobile sensing networks: variations on a theme

TL;DR: Control and coordination algorithms for networks of autonomous vehicles are presented and distributed gradient descent algorithms for a class of utility functions which encodes optimal coverage and sensing policies are designed.
Proceedings ArticleDOI

Path Planning for Permutation-Invariant Multi-Robot Formations

TL;DR: The properties of the representation are described, and it is shown how it can be used to construct collision-free paths for permutation-invariant formations.
Journal ArticleDOI

Awareness Coverage Control Over Large-Scale Domains With Intermittent Communications

TL;DR: A novel dynamic awareness coverage model is proposed and applied to coverage control over a large-scale task domain for a decentralized multi-vehicle sensor network with intermittent communications and possibly faulty sensors and the effectiveness of the novel awareness model and decentralized control law is demonstrated.
Proceedings ArticleDOI

Vector field following for quadrotors using differential flatness

TL;DR: A differential flatness-based method for maneuvering a quadrotor so that its position follows a specified velocity vector field, derived mathematically, and demonstrated in numerical simulations and in experiments with aquadrotor robot for three different vector fields.
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