GENETIC ALGORITHMS IN ROBOTICS

This paper explores the application of Genetic Algorithms (GA) in robotics, highlighting their potential to create intelligent and adaptive robots. We review the basic principles of genetic algorithms, discuss their evolutionary approach to problem solving, and how they can be applied to various robotic tasks. The article examines the advantages and challenges of using genetic algorithms in the field of robotics, highlighting their successful use in areas such as robot control, path planning, and object recognition. Finally, we discuss emerging trends and future directions of genetic algorithm research in robotics.