by Mattia Frasca (Università degli Studi di Catania, Italy), Paolo Arena (Università degli Studi di Catania, Italy), & Luigi Fortuna (Università degli Studi di Catania, Italy)

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.

• 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