Titlebook: Advances in Swarm Intelligence; 12th International C Ying Tan,Yuhui Shi Conference proceedings 2021 Springer Nature Switzerland AG 2021 swa

鳴叫

Concepts and Trends in Particle Physicsely on the accurate mathematical model of the object and can decouple the model. This method can eliminate the influence of model errors, time-varying parameters and external interference on the control effect. Firstly, the manipulators is divided into two subsystems. For each joint subsystem, the h

厚顏無恥

Mass Issues in the Standard Model,portation task. Since the effect of each robot is different in the whole system, a three-layer control framework is designed. For the first layer, mobile bases run distributed observer which uses global states. At the second layer, the position deviation is adopted to improve the accuracy of general

mastopexy

珠寶

Concepts and Trends in Particle Physicsntial Bayesian filters, such as Kalman and particle filter, suffer from the problem of accumulative errors, which cannot provide long-time high-precision services for localization. To solve the problem of arbitrary noise distribution, this paper proposes a Gaussian condensation filter to achieve hig

殘酷的地方

set598

Concepts for Distributed Systems Designcy and more robustness. This study focuses on the map fusion problem in the multi-robot SLAM task, which is to fuse the local maps created by multiple independent robots into an integrated map. A multi-robot SLAM map fusion method based on image stitching is therefore proposed. A single robot uses l

GREEN

Concepts for Distributed Systems Designgnal strength as fitness values. Many current works in the literature have achieved good performance in single-target search problems. However, when there are multiple targets in an environment to be searched, many swarm intelligence-based methods may converge to specific locations prematurely, maki

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Limpid

Motilin