Buch, Englisch, 187 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 318 g
Reihe: Cognitive Technologies
Towards Versatile Artificial Perception-Action Systems
Buch, Englisch, 187 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 318 g
Reihe: Cognitive Technologies
ISBN: 978-3-642-08835-3
Verlag: Springer
This book presents biologically inspired walking machines interacting with their physical environment. It describes how the designs of the morphology and the behavior control of walking machines can benefit from biological studies. Coverage develops a modular structure of neural control generating different reactive behaviors of the physical walking machines, analyzes the neural mechanisms underlying the reactive behaviors, and demonstrates the sensor fusion technique leading to smooth switching between appropriate behaviors, like obstacle avoidance and sound tropism.
The book offers an example of artificial perception-action systems and emphasizes the close relationship between biological studies, computational neuroscience and engineering. The book will be of interest to researchers, engineers and students in the fields of robotics, biologically inspired mechatronics, electronics engineering, control, and artificial intelligence.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Technik Allgemein Bionik, Biomimetik
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Maschinenbau Mechatronik, Mikrosysteme (MEMS), Nanosysteme
- Naturwissenschaften Biowissenschaften Biowissenschaften Neurobiologie, Verhaltensbiologie
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Regelungstechnik
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
Weitere Infos & Material
Biologically Inspired Perception-Action Systems.- Neural Concepts and Modeling.- Physical Sensors and Walking Machine Platforms.- Artificial Perception-Action Systems.- Performance of Artificial Perception-Action Systems.- Conclusions.
