Guest Editorial Neuro-Robotics Systems: Sensing, Cognition, Learning, and Control

Abstract

Neuro-robotics systems (NRSs) are the most advanced research in the field of robotics, promoting the seamless exchange of knowledge between neuroscience and robotics. Recent breakthroughs in human brain neuroscience could be applied to robots to improve their perception, cognition, learning, and control abilities, which even help to develop a brain for robots. A challenge of robotics research is to break through technical bottlenecks by the findings in neuroscience and make robots move more flexibly, have more intelligent perception and control, and communicate with humans more naturally. To address the challenge, this special issue focuses on the latest advances in the area of NRS, particularly, the research concentrating on human-like sensing, multimodal information fusion, cognition, learning, and control technology. The development of these technologies aims to bring innovations into robotics and NRSs.