BIO-INSPIRED EMERGENT CONTROL OF LOCOMOTION SYSTEMS

This book deals with locomotion control of biologically inspired robots realized through an analog circuital paradigm as cellular nonlinear networks. It presents a general methodology for the control of bio-inspired robots and several case studies, as well as describes a new approach to motion control and the related circuit architecture. 'Bio-inspired Emergent Control of Locomotion Systems' provides researchers with a guide to the fundamentals of the topics. Moreover, neuro-biologists and physiologists can use the book as a starting point to design artificial structures for testing their biological hypotheses on the animal model.
Contents: CNN-Based Central Pattern Generators; CNN-Based CPGs with Sensory Feedback and VLSI Implementation; Decentralized Locomotion Control;
A Gallery of Bio-Inspired Robots; High-Level Analog Control: Attitude Control and Motor Maps; High-Level Analog Control: Turing Patterns and Autowaves.