BIO-INSPIRED EMERGENT CONTROL OF LOCOMOTION SYSTEMS
by Mattia Frasca, Paolo Arena & Luigi Fortuna (Universit� 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.
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
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Readership: Graduate students and researchers involved with robotics
and automated systems.
