Decentralized, Adaptive Coverage Control for Networked Robots

By Mac Schwager, Daniela Rus, Jean-Jacques E. Slotine. Int. J. Robotics Res., 2009

458 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/aafa635f3d374f91fd41acf943f5273df8c22e89

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In Computer Networks and Communications

In Control and Systems Engineering

Citations in the corpus

Distributed Control of Robotic Networks (2009, background): “and Seneta, E. (1977) Towards consensus: Some convergence theorems on repeated averaging, Journal of Applied Probability, 14(1), 89–97.”
A Survey on Aerial Swarm Robotics (2018, unknown): “This approach was introduced in [114] for sensor coverage, and generalized in [115] and [116] to cover learning (of the task distribution) and decentralized information sharing.”
Collaborative Multi-Robot Search and Rescue: Planning, Coordination, Perception, and Active Vision (2020, background): “The idea of using probability distributions in the multi-objective search optimization problem has also been extended towards actively updating these distributions as new sensor data becomes available [143].”
Coverage Optimization and Spatial Load Balancing by Robotic Sensor Networks (2010, background): “Other works on deployment coverage problems include [13], [14].”
Cooperative and Distributed Reinforcement Learning of Drones for Field Coverage (2018, methodology): “The problem can be solved using traditional methods, such as, using Voronoi partitions [2], [3], or using potential ﬁeld methods [4], [5].”
Data Collection in Wireless Sensor Networks with Mobile Elements: A Survey (2011, background): “Interested readers may also refer to [Cortés et al. 2004; Schwager et al. 2009], which present ME control schemes specifically targeted for coverage purposes.”
Distributed Control of Robotic Networks: A Mathematical Approach to Motion Coordination Algorithms (2009, methodology): “We compute the circumcenter of a polygon via the algorithm in Skyum (1991) and the incenter set via the LinearProgramming solver in Mathematica .”
Multiagent Learning of Coordination in Loosely Coupled Multiagent Systems (2015, background): “For example, a decentralized control strategy has been proposed in [48] that enables a group of robots to”