Bio-Inspired Self-Organizing Robotic Systems
Self-organizing approaches inspired from biological systems, such as social insects, genetic, molecular and cellular systems under morphogenesis, and human mental development, has enjoyed great success in advanced robotic systems that need to work in dynamic and changing environments. Compared with...
保存先:
| その他の著者: | , |
|---|---|
| フォーマット: | Livre numérique |
| 言語: | Anglais |
| 出版事項: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| 版: | 1st ed. 2011. |
| シリーズ: | Studies in Computational Intelligence
355 |
| オンライン･アクセス: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| 注記: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Bio-inspired self-organizing robotic systems, Yan Meng and Yaochu Jin (eds.), Berlin, Springer-Verlag, 2011, 1 vol. (X- 273 p.), Studies in computational intelligence, 978-3-642-20759-4 • Bio-inspired self-organizing robotic systems, Yan Meng and Yaochu Jin (eds.), Berlin, Springer-Verlag, 2011, 1 vol. (X- 273 p.), Studies in computational intelligence, 978-3-642-20759-4 • Bio-Inspired Self-Organizing Robotic Systems, Texte imprimé, 9783642207617 • Bio-Inspired Self-Organizing Robotic Systems, Texte imprimé, 9783662506646 |
| LEADER | 03724nam a22003737a 4500 | ||
|---|---|---|---|
| 001 | 968646 | ||
| 008 | 110722q2000 xx ||| |||| 00| 0 eng d | ||
| 009 | PPN153861843 | ||
| 020 | |a 9783642207600 | ||
| 041 | 0 | |a eng | |
| 082 | |a 006.3 | ||
| 245 | 0 | 0 | |a Bio-Inspired Self-Organizing Robotic Systems |c edited by Yan Meng, Yaochu Jin. |
| 250 | |a 1st ed. 2011. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Studies in Computational Intelligence |v 355 |x 1860-9503 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a Part I: Self-Organizing Swarm Robotic Systems Part II: Self-Reconfigurable Modular Robots Part III: Autonomous Mental Development in Robotic Systems Part IV: Special Applications Part III: Autonomous Mental Development in Robotic Systems Part IV: Special Applications | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a Self-organizing approaches inspired from biological systems, such as social insects, genetic, molecular and cellular systems under morphogenesis, and human mental development, has enjoyed great success in advanced robotic systems that need to work in dynamic and changing environments. Compared with classical control methods for robotic systems, the major advantages of bio-inspired self-organizing robotic systems include robustness, self-repair and self-healing in the presence of system failures and/or malfunctions, high adaptability to environmental changes, and autonomous self-organization and self-reconfiguration without a centralized control. Bio-inspired Self-organizing Robotic Systems provides a valuable reference for scientists, practitioners and research students working on developing control algorithms for self-organizing engineered collective systems, such as swarm robotic systems, self-reconfigurable modular robots, smart material based robotic devices, unmanned aerial vehicles, and satellite constellations. | ||
| 700 | 1 | |a Meng, Yan. |4 pbd | |
| 700 | 1 | |a Jin, Yaochu, |d 1966- |4 pbd | |
| 776 | 0 | |0 15725447X |t Bio-inspired self-organizing robotic systems |f Yan Meng and Yaochu Jin (eds.) |c Berlin |n Springer-Verlag |d 2011 |p 1 vol. (X- 273 p.) |s Studies in computational intelligence |z 978-3-642-20759-4 | |
| 776 | 0 | |0 15725447X |t Bio-inspired self-organizing robotic systems |f Yan Meng and Yaochu Jin (eds.) |c Berlin |n Springer-Verlag |d 2011 |p 1 vol. (X- 273 p.) |s Studies in computational intelligence |z 978-3-642-20759-4 | |
| 776 | 0 | |t Bio-Inspired Self-Organizing Robotic Systems |b Texte imprimé |z 9783642207617 | |
| 776 | 0 | |t Bio-Inspired Self-Organizing Robotic Systems |b Texte imprimé |z 9783662506646 | |
| 856 | 4 | |q PDF |u https://doi.org/10.1007/978-3-642-20760-0 |z Accès sur la plateforme de l'éditeur | |
| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-D17XQ595-G |z Accès sur la plateforme Istex | |
| 856 | 4 | |5 452349901:750618132 |u https://ezproxy.univ-orleans.fr/login?url=https://dx.doi.org/10.1007/978-3-642-20760-0 |z Accès Université d'Orléans | |
| 856 | 4 | |5 180339901:753976382 |u https://ezproxy.insa-cvl.fr/login?qurl=https://dx.doi.org/10.1007/978-3-642-20760-0 |z Accès INSA CVL | |
| 997 | |0 968646 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/Autre ressource numérique/ | ||