Evolutionary Robotics - Advances and Applications: Investigating Evolutionary Robotics Techniques for the Optimization of Robot Behaviors and Morphologies
Keywords:
Evolutionary Robotics, Evolutionary Algorithms, Robot Behaviors, Morphologies, Optimization, Applications, Swarm Robotics, Autonomous Navigation, Human-Robot InteractionAbstract
Evolutionary Robotics (ER) is a burgeoning field that leverages principles of evolution to enhance the design and development of robotic systems. This paper presents a comprehensive review of recent advances and applications of ER, focusing on the optimization of robot behaviors and morphologies. We delve into the fundamental concepts underlying ER, exploring how evolutionary algorithms can be used to evolve robot controllers, sensor configurations, and even physical structures. The paper highlights key research trends, methodologies, and challenges in ER, providing insights into its potential impact on robotics and AI. Additionally, we discuss promising applications of ER across various domains, including swarm robotics, autonomous navigation, and human-robot interaction. Through this review, we aim to showcase the versatility and efficacy of ER in advancing the capabilities and adaptability of robotic systems.
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