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Record Nr. |
UNINA9910809395403321 |
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Autore |
Frasca Mattia |
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Titolo |
Bio-inspired emergent control of locomotion systems / / Mattia Frasca, Paolo Arena, Luigi Fortuna |
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Pubbl/distr/stampa |
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River Edge, N.J. ; ; London, : World Scientific, c2004 |
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ISBN |
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1-281-34761-2 |
9786611347611 |
981-256-230-3 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (211 p.) |
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Collana |
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World Scientific series on nonlinear science. Series A ; ; v. 48 |
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Altri autori (Persone) |
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ArenaPaolo <1966-> |
FortunaL <1953-> (Luigi) |
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Disciplina |
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Soggetti |
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Robotics |
Mobile robots |
Neural networks (Computer science) |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Preliminaries; Preface; Contents; 1. Introduction; 2. CNN-based Central Pattern Generators; 3. CNN-based CPGs with sensory feedback and VLSI implementation; 4. Decentralized locomotion control; 5. A gallery of bio-inspired robots; 6. High-level analog control: attitude control and Motor Maps; 7. High-level analog control: Turing patterns and autowaves; 8. Conclusions; Appendix A HexaDyn and CNNLab: two tools for bio-inspired locomotion control; Appendix B Design of the CNN circuit; Appendix C A Chaos-based sensor for bio-inspired robots; References; Index |
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Sommario/riassunto |
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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. |
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