Journal ArticleDOI
Neural-Dynamics-Driven Complete Area Coverage Navigation Through Cooperation of Multiple Mobile Robots
TLDR
A neural dynamics approach is proposed for complete area coverage navigation by multiple robots using a bioinspired neural network to model the workspace and guide a swarm of robots for the coverage mission.Citations
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Journal ArticleDOI
Manipulability Optimization of Redundant Manipulators Using Dynamic Neural Networks
TL;DR: Computer simulations are conducted and show that, compared to the existing methods, the proposed scheme can raise the manipulability almost 40% on average, which substantiates the efficacy, accuracy, and superiority of the proposed manipulable optimization scheme.
Journal ArticleDOI
Data Management in Industry 4.0: State of the Art and Open Challenges
TL;DR: In this paper, a survey of the recent literature on data management as it applies to networked industrial environments and identifies several open research challenges for the future is presented, motivated by the rich conclusions of this critical analysis, and select interesting open challenges for future research.
Journal ArticleDOI
An Optimized Fuzzy Control Algorithm for Three-Dimensional AUV Path Planning
Bing Sun,Daqi Zhu,Simon X. Yang +2 more
TL;DR: Simulation results indicate that the proposed fuzzy control algorithm can generate an optimal 3D path under three-dimensional underwater environment and can be used in real case in the future.
Journal ArticleDOI
A Sampling-Based Bayesian Approach for Cooperative Multiagent Online Search With Resource Constraints
Hu Xiao,Rongxin Cui,Demin Xu +2 more
TL;DR: This paper presents a cooperative multiagent search algorithm to solve the problem of searching for a target on a 2-D plane under multiple constraints and proposes an optimization objective which aims to guide agents to find the target with less resource consumptions, and to keep the resource consumption of each agent balanced simultaneously.
Journal ArticleDOI
Cloud-Based Multi-Agent Cooperation for IoT Devices Using Workflow-Nets
TL;DR: A workflow-net based framework for agent cooperation is proposed to enable collaboration among fog computing devices and form a cooperative IoT service delivery system and results show that the cooperation process increases the number of achieved tasks and is performed in a timely manner.
References
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Journal ArticleDOI
A quantitative description of membrane current and its application to conduction and excitation in nerve
A. L. Hodgkin,A. F. Huxley +1 more
TL;DR: This article concludes a series of papers concerned with the flow of electric current through the surface membrane of a giant nerve fibre by putting them into mathematical form and showing that they will account for conduction and excitation in quantitative terms.
Journal ArticleDOI
Absolute stability of global pattern formation and parallel memory storage by competitive neural networks
TL;DR: It remains an open question whether the Lyapunov function approach, which requires a study of equilibrium points, or an alternative global approach, such as the LyAPunov functional approach, will ultimately handle all of the physically important cases.
Journal ArticleDOI
Nonlinear neural networks: Principles, mechanisms, and architectures
TL;DR: An historical discussion is provided of the intellectual trends that caused nineteenth century interdisciplinary studies of physics and psychobiology by leading scientists such as Helmholtz, Maxwell, and Mach to splinter into separate twentieth-century scientific movements.
Journal ArticleDOI
A neural network approach to complete coverage path planning
Simon X. Yang,Chaomin Luo +1 more
TL;DR: A novel neural network approach is proposed for complete coverage path planning with obstacle avoidance of cleaning robots in nonstationary environments and results show that the proposed model is capable of planning collision-free complete coverage robot paths.
Journal ArticleDOI
A Bioinspired Neural Network for Real-Time Concurrent Map Building and Complete Coverage Robot Navigation in Unknown Environments
Chaomin Luo,Simon X. Yang +1 more
TL;DR: A novel neural-dynamics-based approach is proposed for real-time map building and CCN of autonomous mobile robots in a completely unknown environment that is capable of planning more reasonable and shorter collision-free complete coverage paths in unknown environments.