Neurotechnology for Biomimetic Robots (MIT Press)
Author | : | |
Rating | : | 4.73 (962 Votes) |
Asin | : | 026201193X |
Format Type | : | paperback |
Number of Pages | : | 650 Pages |
Publish Date | : | 2014-10-25 |
Language | : | English |
DESCRIPTION:
About the AuthorAlan Rudolph is Program Manager in the Defense Sciences Office at DARPA, the Defense Advanced Research Projects Agency.Joseph Ayers is Director of the Marine Science Center and Associate Professor of Biology at Northeastern University.
Overview of most existing biomimetic robots This is a very dense book which is just what I was hoping for. It is great that they have compiled some major studies done in the field of biomimetic robots. So many of the robots in this field are developed for military applications!One thing I find a little annoying is that each study group has developed their own language for articulating their own robots, when their model organism is the same. Of course the book can't do much about this, but it shows you how large scale investments in research require extreme intellectual property protection. Ironically, the papers all describe in full d
Alan Rudolph is Program Manager in the Defense Sciences Office at DARPA, the Defense Advanced Research Projects Agency.Joseph Ayers is Director of the Marine Science Center and Associate Professor of Biology at Northeastern University.
Biomimetic robots differ from traditional robots in that they are agile, relatively cheap, and able to deal with real-world environments. The areas covered include myomorphic actuators, which mimic muscle action; neuromorphic sensors, which, like animal sensors, represent sensory modalities such as light, pressure, and motion in a labeled-line code; biomimetic controllers, based on the relatively simple control systems of invertebrate animals; and the autonomous behaviors that are based on an animal's selection of behaviors from a species-specific behavioral "library." The ultimate goal is to develop a truly autonomous robot, one able to navigate and interact with its environment solely on the basis of sensory feedback without prompting from a human operator.. The