A Review on Path Planning Technique for Bio-Inspired Robot

Abstract

Bio-inspired robotic systems have grown in popularity during the last few years. It is the study of biological systems, the search for mechanisms, and the application of these processes to real-world constructed systems. Bio-motivated algorithms have as of late gotten a great deal of interest as a method for tackling complex streamlining issues. In the writing, the intricacy of way getting ready for bio-inspired robots has not been entirely tended to. This paper investigates seven bio-inspired algorithms ordered into two methodologies i.e., Evolutionary Algorithms and Neural Networks, late improvements in robot way arranging are likewise examined. Moreover, in the wake of gauging the advantages and downsides of every algorithm, a full examination is advertised. Transformative algorithms were viewed as dreary and inclined to the youthful combination. Bio-inspired neural networks, on the other hand, were shown to be more suitable due to their superiority in real-time performance for difficult path concerns.