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Review of methodologies and tasks in swarm robotics towards standardization
Swarm Robotics (SR) is an extension of the study of Multi-Robot Systems that exploits
concepts of communication, coordination and collaboration among a large number of robots …
concepts of communication, coordination and collaboration among a large number of robots …
Evolutionary multi-task optimization for parameters extraction of photovoltaic models
As the demand for solar energy increases dramatically, the optimization and control of
photovoltaic systems become increasingly important, accurate and reliable parameter …
photovoltaic systems become increasingly important, accurate and reliable parameter …
Novel implementation of multi-robot space exploration utilizing coordinated multi-robot exploration and frequency modified whale optimization algorithm
Multi-robot space exploration involves building a finite map utilizing a cluster of robots in an
obstacle cluttered environment. The uncertainties are minimized by assigning tasks among …
obstacle cluttered environment. The uncertainties are minimized by assigning tasks among …
Experimentation investigation of abrasive water jet machining parameters using Taguchi and Evolutionary optimization techniques
In the last decade, numerous new materials are rapidly emerging and developed; it creates
considerable interest in the researcher to search out the optimum combination of machining …
considerable interest in the researcher to search out the optimum combination of machining …
An improved random drift particle swarm optimization-feed forward backpropagation neural network for high-precision state-of-charge estimation of lithium-ion …
A predictive model with high accuracy and stability of the state of charge (SOC) estimation
for lithium-ion batteries plays a significant role in electric vehicles. An improved random drift …
for lithium-ion batteries plays a significant role in electric vehicles. An improved random drift …
Coordinated multi-robot exploration: Hybrid stochastic optimization approach
View Video Presentation: https://doi. org/10.2514/6.2022-1414. vid Space exploration refers
to constructing a map with the aid of sensor data. This exploration is achieved utilizing a …
to constructing a map with the aid of sensor data. This exploration is achieved utilizing a …
Hybrid stochastic exploration using grey wolf optimizer and coordinated multi-robot exploration algorithms
Multi-robot exploration is a search of uncertainty in restricted space seeking to build a finite
map by a group of robots. It has the main task to distribute the search assignments among …
map by a group of robots. It has the main task to distribute the search assignments among …
Event-triggered formation control of multiagent systems with linear continuous-time dynamic models
Event-triggered formation control of linear continuous-time multiagent systems is studied in
this article. A complex-valued Laplacian is adopted by the local information of desired …
this article. A complex-valued Laplacian is adopted by the local information of desired …
Optimized control for medical image segmentation: improved multi-agent systems agreements using Particle Swarm Optimization
The optimal segmentation of medical images remains important for promoting the intensive
use of automatic approaches in decision making, disease diagnosis, and facilitating the …
use of automatic approaches in decision making, disease diagnosis, and facilitating the …
Optimal path search and control of mobile robot using hybridized sine-cosine algorithm and ant colony optimization technique
Purpose This paper aims to incorporate a hybridized advanced sine-cosine algorithm
(ASCA) and advanced ant colony optimization (AACO) technique for optimal path search …
(ASCA) and advanced ant colony optimization (AACO) technique for optimal path search …