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Performance Analysis of Chemotaxis-Inspired Stochastic Controllers for Multi-Agent Coverage
In this study, we analyze the performance of stochastic coverage controllers inspired by the chemotaxis of bacteria. The control algorithm of...
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Creating a robot localization monitor using particle filter and machine learning approaches
Robot localization is a fundamental capability of all mobile robots. Because of uncertainties in acting and sensing, and environmental factors such...
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Exploration of Underwater Environments with a Swarm of Heterogeneous Surface Robots
The main goal of swarm robotics is to control a large number of robots that interact together without a central controller. Swarm systems have a...
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An Improved Fire Hawks Optimizer for Function Optimization
Fire hawk Optimizer (FHO) is a relatively new intake in the family of evolutionary algorithms for a distinct type of optimization problem....
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Artificial Intelligence Supervised Swarm UAVs for Reconnaissance
The unmanned aerial vehicles (UAV) have great potential to support search tasks in unstructured environments. These are agile, small and lightweight...
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The Generative Way
Congratulations for having come this far! We’ve covered a lot, so it’s time to take stock, stretch out those mental muscles, and make sure we don’t...
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Bio-inspired Computing Techniques for Data Security Challenges and Controls
Bio-inspired computing approach is based on the nature and biology for solving complex real-world challenges with enhanced solutions. In this modern...
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Optimal Group Consensus of Second-Order Multi-agent Systems
The optimal control problems play an important role in modern control theory. This paper focuses on the optimal problem for group flocking movement...
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Collective Movement Simulation: Methods and Applications
Collective movement simulations are challenging and important in many areas, including life science, mathematics, physics, information science and...
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Optimizing a Dynamic Sliding Mode Controller with Bio-Inspired Methods: A Comparison
In the past few years, bio-inspired optimization algorithms have shown to be an excellent way to solve a wide range of complex computing problems in...
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Sensitivity to Initial Conditions in Agent-Based Models
In the last thirty years, agent-based modelling has become a well-known technique for studying and simulating dynamical systems. Still, there are...
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Investigation of Cue-Based Aggregation Behaviour in Complex Environments
Swarm robotics is mainly inspired by the collective behaviour of social animals in nature. Among different behaviours such as foraging and flocking...
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An STL-Based Formulation of Resilience in Cyber-Physical Systems
Resiliency is the ability to quickly recover from a violation and avoid future violations for as long as possible. Such a property is of fundamental...
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Rigorous engineering of collective adaptive systems – 2nd special section
An adaptive system is able to adapt at runtime to dynamically changing environments and to new requirements. Adaptive systems can be single adaptive...
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Research of Opinion Dynamic Evolution Based on Flocking Theory
Using natural science research methods to study the behavior and phenomenon in complex social groups has attracted great concern in recent years. The...
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Effect of swarm density on collective tracking performance
How does the size of a swarm affect its collective action? Despite being arguably a key parameter, no systematic and satisfactory guiding principles...
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Conclusion
When considering the samples of swarm systems described here, one cannot help but be impressed by the wide diversity of artistic/architectural...
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An improved particle swarm optimization with backtracking search optimization algorithm for solving continuous optimization problems
The particle swarm optimization (PSO) is a population-based stochastic optimization technique by the social behavior of bird flocking and fish...
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Dragonfly Algorithm for Multi-target Search Problem in Swarm Robotic with Dynamic Environment Size
Target search elements are very important in real-world applications such as post-disaster search and rescue missions, and pollution detection. In...