Robust rendezvous for mobile autonomous agents via proximity graphs in arbitrary dimensions
By Jorge Cortés, Sonia Martínez, Francesco Bullo. IEEE Transactions on Automatic Control, 2006
736 citations recorded by the source corpus.
Subfields: Computer Networks and Communications
View Paper: https://www.semanticscholar.org/paper/d6451a7eaff1427f8042128fc1781920f378b303
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In Computer Networks and Communications
- Wei Ren
- Guanrong Chen
- Wenwu Yu
- Francesco Bullo
- Yongcan Cao
- Long Wang
- Magnus Egerstedt
- Frank L. Lewis
Citations in the corpus
- Consensus of Multi-Agent Systems With Unbounded Time-Varying Delays (2010, background): “Distributed coordination of networks with dynamic agents has attracted researchers from various disciplines of engineering and science due to the broad applications of multi-agent systems in many areas, such as the decision making process [3], sensor networks [4], rendezvous tasks [5], the swarming ”
- Distributed Adaptive Control of Synchronization in Complex Networks (2012, background): “Another common example of consensus is the rendezvous problem, in which a group of agents meets in a certain manner at a selected point in space, each using only local information about the positions of its nearest neighbors (see [23], [24]).”
- A Necessary and Sufficient Condition for Consensus Over Random Networks (2008, methodology): “For such a framework, we present a necessary and sufficient condition for almost sure asymptotic consensus using simple ergodicity and probabilistic arguments.”
- Design and analysis of distributed averaging with quantized communication (2014, background): “Consensus processes play an important role in many other problems such as Google’s PageRank [22], clock synchronization [33], rendezvous [16] and formation control [19].”
- Human Interaction With Robot Swarms: A Survey (2016, background): “The models and methods that originated from these differ not only with regard to the source of inspiration but also with regard to theoretical guarantees, operating conditions, and suitable metaphors.”
- Consensus and Cooperation in Networked Multi-Agent Systems (2007, background): “Let us consider the generalized Kuramoto model of coupled oscillators on a graph with dynamics where θ i and ω i are the phase and frequency of the i th oscillator.”
- Quantized Coordination Algorithms for Rendezvous and Deployment (2009, background): “Additional references on rendezvous and deployment problems include [1, 10, 4, 11, 5].”
- Distributed Containment Control for Multiple Autonomous Vehicles With Double-Integrator Dynamics: Algorithms and Experiments (2011, background): “Various distributed cooperative control scenarios have been investigated, including consensus [1]–[3], formation control [4]–[6], rendezvous [7], [8], and flocking [9]–[11].”
- Potential Fields for Maintaining Connectivity of Mobile Networks (2007, background): “Under the control law in (6), the connectivity of the multiagent system is maintained, and in particular, is increased leading to a closed loop solution to the rendezvous problem [15], [16].”
- Distributed Control of Robotic Networks (2009, methodology): “The robustness of the circumcenter control and communication laws can be characterized with respect to link failures (see Cortés et al., 2006).”
- Communication constraints in the average consensus problem (2008, background): “Key words: Consensus, Multi-agent Coordination, Convergence Rate, Logarithmic Quantization, Random Networks, Mixing Rate of Markov Chains”
- Leader-follower cooperative attitude control of multiple rigid bodies (2008, background): “Several results are based on treating the vehicle as a single integrator [11],[1],[5],[14] or double integrator [16],[10],[6].”
- Asynchronous Consensus Protocols Using Nonlinear Paracontractions Theory (2008, background): “One basic coordination task in multirobot systems is rendezvous [25], [26].”
- Distributed connectivity control of mobile networks (2007, background): “Motivated by the significance of connectivity in many applications involving multi-agent systems and mobile sensor networks [9], [10], [11], [12], [13], [14], in this paper, we consider graph connectivity as our primary objective.”