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A Collection of Robotics Problems for Benchmarking Evolutionary Computation Methods
The utilization of benchmarking techniques has a crucial role in the development of novel optimization algorithms, and also in performing comparisons...
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Decomposition and merging cooperative particle swarm optimization with random grou** for large-scale optimization problems
Particle swarm optimization (PSO) is a metaheuristic commonly used for optimization problems. However, PSO does not scale well to large-scale...
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Integrating Particle Swarm Optimization with Reinforcement Learning: A Promising Approach to Optimization
The popular optimization method, Particle Swarm Optimization (PSO), drew inspiration from the collective behavior of fish schools and bird flocks,...
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An implementation of a Physarum polycephalum model on a swarm of non-holonomic robots
The slime mold Physarum polycephalum is renowned for its incredible perceived intelligence despite it being a unicellular organism devoid of a...
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Computing Beyond Edge: The Swarm Computing Concept
This chapter presents the integral advances beyond the current Edge computing conception towards Swarm computing concept and its implementation in...
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Multi-robot cooperation and performance analysis with particle swarm optimization variants
Cooperation and synchronization of multi-robots is a major concern in robotics research field. Two autonomous robots are assumed to carry a stick and...
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On the computational power of swarm automata using agents with position information
Based on swarm movements and computing models using multisets, a swarm automaton was introduced to construct a new computing system using swarm...
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A new modified grey wolf optimization algorithm proposal for a fundamental engineering problem in robotics
In this study, the solution of inverse kinematics, which is the most fundamental problem in the field of robotics, is handled with the grey wolf...
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Multi-sensor based object tracking using enhanced particle swarm optimized multi-cue granular fusion
In the discipline of computer vision, object tracking is one of the progressive and prominent areas of research with its application in the field of...
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Involvement of Unmanned Aerial Vehicles and Swarm Intelligence in Future Modern Warfare: An Overview
This study provides an overview of the potential uses of unmanned aerial vehicles and their swarm systems in future military technology. By examining...
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An enhanced chameleon swarm algorithm for global optimization and multi-level thresholding medical image segmentation
Medical image segmentation is crucial in using digital images for disease diagnosis, particularly in post-processing tasks such as analysis and...
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Soft robotics: the route to true robotic organisms
Soft Robotics has come to the fore in the last decade as a new way of conceptualising, designing and fabricating robots. Soft materials empower...
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Energy-efficient scheduling model and method for assembly blocking permutation flow-shop in industrial robotics field
Implementing green and sustainable development strategies has become essential for industrial robot manufacturing companies to fulfill their societal...
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Controlling Robot Swarm Aggregation Through a Minority of Informed Robots
Self-organized aggregation is a well studied behavior in swarm robotics as it is the pre-condition for the development of more advanced group-level...
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Synergies Between Natural Language Processing and Swarm Intelligence Optimization: A Comprehensive Overview
Natural Language Processing (NLP) constitutes a vital facet of artificial intelligence, focusing on the intricate interplay between human language...
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Behavioral specialization emerges from the embodiment of a robotic swarm
This paper focuses on the effect of the embodiment of robots on collective behavior in robotic swarms. The research field of swarm robotics...
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Using a Semi-autonomous Drone Swarm to Support Wildfire Management – A Concept of Operations Development Study
This paper provides insights into a human factors-oriented Concept of Operations (ConOps), which can be applied for future semi-autonomous drone...
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Parameter identification of permanent magnet synchronous motors using quasi-opposition-based particle swarm optimization and hybrid chaotic particle swarm optimization algorithms
Favourable performance of designed controllers for Permanent magnet synchronous motors (PMSMs), deeply depends on accurate model and parameters of...
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Improving Inertial Odometry Through Particle Swarm Optimization in the RoboCup Small Size League
Small Size League (SSL) robots require mobile navigation to interact with their surroundings. Therefore, robots may rely on odometry to track their...
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Generating and Analyzing Collective Step-Climbing Behavior in a Multi-legged Robotic Swarm
This paper focuses on generating and analyzing collective step-climbing behavior in a multi-legged robotic swarm. The multi-legged robotic swarm is...