Autonomy for Marine Robots provides a timely and insightful overview of intelligent autonomy in marine robots. A brief history of this emerging field is provided, along with a discussion of the challenges unique to the underwater environment and their impact on the level of intelligent autonomy required. Topics covered at length examine advanced frameworks, path-planning, fault tolerance, machine learning, and cooperation as relevant to marine robots that need intelligent autonomy.Also, it is expected that the methods, being user-friendly, would enhance the application of robots in human daily environments. ... which was investigated in the DYNA architecture , is to use experiences to build an action model and use it for planning and learning. ... applied in  where a PG algorithm designed to control a RC helicopter is first trained off-line by means of a computer simulator .
|Title||:||Marine Robot Autonomy|
|Author||:||Mae L. Seto|
|Publisher||:||Springer Science & Business Media - 2012-12-09|