Description
This monograph focuses on high-level decision-making problems in autonomous environmental monitoring robots. Decision-making at the high level involves strategic planning and coordination to optimize data collection. Addressing these challenges allows robots to autonomously navigate, explore, and gather scientific data in a wide range of environmental monitoring applications.
Included in the monograph are representations for different environments, as well as a discussion of using these presentations to solve tasks of interest, such as learning, localization, and monitoring. To efficiently implement the tasks, decision-theoretic optimization algorithms consider: (1) where to take measurements from, (2) which tasks to be assigned, (3) what samples to collect, (4) when to collect samples, (5) how to learn environment; and (6) who to communicate. Finally, this work concludes by presenting the challenges and opportunities in robotic environmental monitoring.
Book Information
ISBN 9781638283041
Author Yoonchang Sung
Format Paperback
Page Count 102
Imprint now publishers Inc
Publisher now publishers Inc
Weight(grams) 156g