Computational Intelligence and Neuroscience in Neurorobotics
Somyot Kaitwanidvilai, Uma Seeboonruang, Hisayuki Aoyama, Khemraj Emrith · Computational Intelligence and Neuroscience · 2019
Computational intelligence and neuroscience play an important role in robotics applications to improve the robot's capacities not only in increasing productivity in manufacturing but also in intelligence development so that robots can substitute human's thinking and planning capacity.Recently, neuroscience has been applied to robots to generate intelligence models with biological nervous systems.e intersection between robotics and neuroscience highlights many promising approaches and applications, for example, the neurorobots, brain-inspired algorithms and devices in robotics, and neural network-based navigation.AI leads to one of the most significant paradigm shifts and improvements in the robotics field.e principal aim of this special issue is to publish quality papers of new developments and trends, novel techniques, and innovative methodologies on the theories and applications of computational intelligence and neuroscience in robotics.Potential topics include but are not limited to the followings: neural networks for biological and biomedical robots, neuroinspired robot navigation, decision support systems in neurorobotics, intelligent fault detection and identification in neurorobotics, clustering and data analysis in neurorobotics, swarm robotics based on neural networks, and neurofuzzy control design for cooperative robots.e following paragraphs summarize the main contents of the best novelty research papers published in this special issue.e paper "Coevolution of the Asymmetric Morphology and the Behaviour of Simple Predator Agents in Predator-Prey Pursuit Problem" by M. Georgiev, I. Tanev, and K. Shimohara concentrates on the one of the previous challenges.It introduced a new standpoint to the well-studied