Optimization of Fuzzy Controllers for Autonomous Mobile Robots Using the Grey Wolf Optimizer

2019 ◽  
pp. 289-299
Author(s):  
Eufronio Hernández ◽  
Oscar Castillo ◽  
José Soria
Keyword(s):  
Mobile Robots ◽  
Autonomous Mobile Robots ◽  
Grey Wolf Optimizer ◽  
Grey Wolf ◽  
Fuzzy Controllers

scholarly journals Grey Wolf Optimizer-Based Approaches to Path Planning and Fuzzy Logic-based Tracking Control for Mobile Robots

2020 ◽  
Vol 15 (3) ◽  
Author(s):  
Radu-Emil Precup ◽  
Emil-Ioan Voisan ◽  
Emil M. Petriu ◽  
Marius L. Tomescu ◽  
Radu-Codrut David ◽  
...  
Keyword(s):  
Path Planning ◽  
Mobile Robots ◽  
Tracking Control ◽  
Fuzzy Controller ◽  
Optimization Problems ◽  
Cost Effective ◽  
Grey Wolf Optimizer ◽  
Reference Trajectory ◽  
Grey Wolf ◽  
Wheeled Mobile Robots

This paper proposes two applications of Grey Wolf Optimizer (GWO) algorithms to a path planning (PaPl) problem and a Proportional-Integral (PI)-fuzzy controller tuning problem. Both optimization problems solved by GWO algorithms are explained in detail. An off-line GWO-based PaPl approach for Nonholonomic Wheeled Mobile Robots (NWMRs) in static environments is proposed. Once the PaPl problem is solved resulting in the reference trajectory of the robots, the paper also suggests a GWO-based approach to tune cost-effective PI-fuzzy controllers in tracking control problem for NWMRs. The experimental results are demonstrated through simple multiagent settings conducted on the nRobotic platform developed at the Politehnica University of Timisoara, Romania, and they prove both the effectiveness of the two GWO-based approaches and major performance improvement.

Optimization of granulation for fuzzy controllers of autonomous mobile robots using the Firefly Algorithm

2018 ◽  
Vol 4 (2) ◽  
pp. 185-195 ◽  
Author(s):  
Marylu L. Lagunes ◽  
Oscar Castillo ◽  
Jose Soria ◽  
Mario Garcia ◽  
Fevrier Valdez
Keyword(s):  
Mobile Robots ◽  
Firefly Algorithm ◽  
Autonomous Mobile Robots ◽  
Fuzzy Controllers

Fusion of Gravitational Search Algorithm, Particle Swarm Optimization, and Grey Wolf Optimizer for Odor Source Localization

2018 ◽  
pp. 276-302
Author(s):  
Upma Jain ◽  
Ritu Tiwari ◽  
W. Wilfred Godfrey
Keyword(s):  
Particle Swarm Optimization ◽  
Mobile Robots ◽  
Source Localization ◽  
Search Algorithm ◽  
Gravitational Search Algorithm ◽  
Grey Wolf Optimizer ◽  
Odor Source ◽  
Grey Wolf ◽  
Swarm Optimization ◽  
Gravitational Search

This chapter concerns the problem of odor source localization by a team of mobile robots. A brief overview of odor source localization is given which is followed by related work. Three methods are proposed for odor source localization. These methods are largely inspired by gravitational search algorithm, grey wolf optimizer, and particle swarm optimization. Objective of the proposed approaches is to reduce the time required to localize the odor source by a team of mobile robots. The intensity of odor across the plume area is assumed to follow the Gaussian distribution. Robots start search from the corner of the workspace. As robots enter in the vicinity of plume area, they form groups using K-nearest neighbor algorithm. To avoid stagnation of the robots at local optima, search counter concept is used. Proposed approaches are tested and validated through simulation.

scholarly journals Design of Embedded DSP-Based Fuzzy Controllers for Autonomous Mobile Robots

2008 ◽  
Vol 55 (2) ◽  
pp. 928-936 ◽  
Author(s):  
I. Baturone ◽  
F.J. Moreno-Velo ◽  
V. Blanco ◽  
J. Ferruz
Keyword(s):  
Mobile Robots ◽  
Autonomous Mobile Robots ◽  
Fuzzy Controllers ◽  
Embedded Dsp

scholarly journals Grey Wolf Optimizer-Based Approach to the Tuning of Pi-Fuzzy Controllers with a Reduced Process Parametric Sensitivity

2016 ◽  
Vol 49 (5) ◽  
pp. 55-60 ◽  
Author(s):  
Radu-Emil Precup ◽  
Radu-Codrut David ◽  
Emil M. Petriu ◽  
Alexandra-Iulia Szedlak-Stinean ◽  
Claudia-Adina Bojan-Dragos
Keyword(s):  
Grey Wolf Optimizer ◽  
Grey Wolf ◽  
Fuzzy Controllers ◽  
Parametric Sensitivity
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