Biomimetic Perception, Cognition, and Control: From Nature to Robots [From the Guest Editors]

Abstract

A wide range of technological developments are inspired by biological individuals and advanced synthetic materials, cognitive sensors, control algorithms, artificial intelligence technology, and intelligent systems. One of the major challenges is to create a comprehensive study by integrating different techniques into robotic systems so that the performance of robots can be improved and applied to more complex and diverse scenarios. The articles in this issue focus on the state of the art in biomimetic perception, cognition, and control research and aim to explore related technical avenues in the multimodal bioinformation perception framework, intelligent cognition and learning, robotic systems and control, and new biomimetic sensors.