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Titlebook: Distributed Consensus with Visual Perception in Multi-Robot Systems; Eduardo Montijano,Carlos Sagüés Book 2015 Springer International Publ

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11#
發(fā)表于 2025-3-23 12:20:39 | 只看該作者
https://doi.org/10.1007/978-1-4684-6521-1ence speed to reach the consensus. Then we have used these algorithms to study a distributed solution based on consensus to the problem of cooperatively build a topological map of the environment. Conclusions obtained throughout this work are finally summarized in this chapter.
12#
發(fā)表于 2025-3-23 14:00:46 | 只看該作者
13#
發(fā)表于 2025-3-23 20:55:20 | 只看該作者
Robotic Networks and the Consensus Problem,orithms based on linear iterations and the application of this kind of algorithms to achieve the consensus using different weights. To conclude the chapter, we show some examples of different consensus applications solved using linear iterations.
14#
發(fā)表于 2025-3-23 23:42:41 | 只看該作者
15#
發(fā)表于 2025-3-24 05:44:59 | 只看該作者
https://doi.org/10.1007/978-1-4684-6521-1 We formally demonstrate the main properties of the algorithm and prove that after executing our method, the team of robots finishes with a globally consistent data association. The performance of the algorithm is tested with extensive simulations and real images at the end of the chapter.
16#
發(fā)表于 2025-3-24 08:10:24 | 只看該作者
https://doi.org/10.1007/978-1-4684-6521-1e the main properties of the algorithm for both, fixed and switching communication topologies. Additionally, we provide a second algorithm for the adaptive selection of the parameters to optimize the convergence rate. We validate the studied method with extensive simulations.
17#
發(fā)表于 2025-3-24 10:56:08 | 只看該作者
The Data Association Problem, We formally demonstrate the main properties of the algorithm and prove that after executing our method, the team of robots finishes with a globally consistent data association. The performance of the algorithm is tested with extensive simulations and real images at the end of the chapter.
18#
發(fā)表于 2025-3-24 18:50:27 | 只看該作者
Fast Consensus with Chebyshev Polynomials,e the main properties of the algorithm for both, fixed and switching communication topologies. Additionally, we provide a second algorithm for the adaptive selection of the parameters to optimize the convergence rate. We validate the studied method with extensive simulations.
19#
發(fā)表于 2025-3-24 22:30:59 | 只看該作者
20#
發(fā)表于 2025-3-24 23:39:09 | 只看該作者
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