Multi-agent Control Approach for Autonomous Mobile Manipulators: Simulation Results on RobuTER/ULM

2014 ◽  
Vol 47 (3) ◽  
pp. 8503-8508 ◽  
Author(s):  
Abdelfetah HENTOUT ◽  
Mohamed Ayoub MESSOUS ◽  
Brahim BOUZOUIA
2016 ◽  
Vol 127 ◽  
pp. 337-351 ◽  
Author(s):  
Jie Cai ◽  
Donghun Kim ◽  
Rita Jaramillo ◽  
James E. Braun ◽  
Jianghai Hu

Author(s):  
Wei Wang ◽  
Hui Liu ◽  
Wangqun Lin

In the rapidly changing air combat environment, it is quite difficult for pilots to make speedy and reasonable decisions in a very short period due to lack of experience and the uncertainty of perception situation. Hence, the authors propose an intelligent cognitive tactical strategy framework of air combat on multi-source information in uncertain air combat situations for decision support. A fuzzy inferring tree method is proposed to simulate human intellection. Then, to further improve the accuracy of the reasoning results, a genetic algorithm is introduced to optimize the structure and parameters of fuzzy rules. The simulation results show that the proposed model is reasonable, fast, accurate, repeatable, and fatigue-free, which lays a good foundation for future high-end unmanned combat explorations.


2020 ◽  
Vol 28 (3) ◽  
pp. 109-121
Author(s):  
V.S. Bykova ◽  
◽  
L.A. Martynova ◽  
A.I. Mashoshin ◽  
I.V. Pashkevich ◽  
...  

Algorithms for a dispatcher of a multi-agent control system for an autonomous underwater vehicle (AUV) are described. The algorithms are designed on a modular basis, which provides for the control of a wide range of tasks assigned to the AUV, and, in addition, makes the implementation of each algorithm simple.


2022 ◽  
Author(s):  
Vinod P. Gehlot ◽  
Mark J. Balas ◽  
Saptarshi Bandyopadhyay ◽  
Marco B. Quadrelli ◽  
David Bayard ◽  
...  

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