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Engineering - Robotics | Neural Preprocessing and Control of Reactive Walking Machines - Towards Versatile Artificial Perception-Action

Neural Preprocessing and Control of Reactive Walking Machines

Towards Versatile Artificial Perception-Action Systems

Manoonpong, Poramate

2007, XVI, 187 p.

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  • Emphasizes the close relationship between biological studies, computational neuroscience and engineering
  • Promotes controls to enable smooth switching between behaviors
  • Useful to researchers, engineers and students in robotics, artificial intelligence and electrical engineering

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. The purpose of this book is to develop a modular structure of neural control generating different reactive behaviors of the physical walking machines, to analyze the neural mechanisms underlying the reactive behaviors, and to demonstrate the sensor fusion technique leading to smooth switching between appropriate behaviors, like obstacle avoidance and sound tropism.

The author 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.

Content Level » Research

Keywords » Neuroscience - Performance - Symbol - artificial intelligence - electronics - intelligence - neural mechanisms - robot - robotics - sensor - switch

Related subjects » Artificial Intelligence - Hardware - Neuroscience - Robotics - Theoretical Computer Science

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