Abstraction and control for Groups of robots

By Calin A. Belta, Vijay R. Kumar. IEEE Transactions on robotics, 2004

370 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/2a30fc213eb36577f7a8db812a138a68025c894a

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In Computer Networks and Communications

In Computer Vision and Pattern Recognition

In Mechanical Engineering

Citations in the corpus

Decentralized, Adaptive Coverage Control for Networked Robots (2009, background): “1 Relation to Previous Work Multi-agent coordination problems have enjoyed a flurry of research activity in recent years ( [1, 10, 27] to name only a few).”
Optimal scheduling for refueling multiple autonomous aerial vehicles (2006, methodology): “Other works include using Lie group for abstraction and control for robot teams [29] and vision-based mobile robots formation control [30].”
Distributed Control of Robotic Networks (2009, background): “Regarding distributed motion coordination algorithms, much progress has been made on collective pattern formation (Suzuki and Yamashita, 1999; Belta and Kumar, 2004; Justh and Krishnaprasad, 2004; Sepulchre et al., 2007; Paley et al., 2007; Yang et al., 2008), flocking (Olfati-Saber, 2006; Lee and S”
A Distributed Deterministic Annealing Algorithm for Limited-Range Sensor Coverage (2011, background): “A key area of interest regarding mobile sensor networks is deployment to maximize coverage [2], [3], [4], [5], [6].”
Distributed Intelligence: Overview of the Field and Its Application in Multi-Robot Systems (2008, neutral): “of this work include [47], [9], [116], [29], [68], [35], [36], [108], [2].”
Decentralized estimation and control of graph connectivity in mobile sensor networks (2008, background): “In mobile sensor network systems, current research areas include target tracking [14], [22], [11], formation and coverage control [2]–[4], [6], environmental monitoring [10], [16], [18], and several others.”
Motion Coordination with Distributed Information (2007, neutral): “A necessarily incomplete list of works on distributed, or leaderless, motion coordination includes [13, 14, 15] on pattern formation, [16, 17, 18] on ﬂocking, [19] on self-assembly, [20] on swarm aggregation, [21] on gradient climbing, [22, 23, 24, 25] on deployment and task allocation, [26, 27,…”
Region-based shape control for a swarm of robots (2009, background): “Belta and Kumar (2004) propose a control method for a large group of robots to move along a specified path.”
Multi-Agent Coordination by Decentralized Estimation and Control (2008, methodology): “The example of controlling moment statistics was previously studied with a centralized approach in [2].”