Author Description

Recently, biologically inspired control approaches for robotic systems have been attracting considerable attention owing to the fact that most humans or animals move and walk easily without explicit motor control. However, there are many difficulties in controlling robotic systems exploiting neural network models such as Central Pattern Generators. Therefore, this book is intended for all those who have deep interest in applying a biologically inspired control scheme to robotic systems. In addition, this book introduces and describes a new methodology for feedback control system design that has great potential to enable robots to adapt to unknown environments. Inspired by the global entrainment property of human and animal locomotion incorporating neural oscillators and their networks, we expend considerable effort into realizing a new biologically inspired motion generation and control scheme for robotic systems. Hence, the authors believe that our study promises to play a breakthrough role in the field of robotics.