Information-Driven Planning and Control (Cyber Physical Systems Series)

A unified framework for developing planning and control algorithms for active sensing, with examples of applications for specific sensor technologies.

Active sensor systems, increasingly deployed in such applications as unmanned vehicles, mobile robots, and environmental monitoring, are characterized by a high degree of autonomy, reconfigurability, and redundancy. This book is the first to offer a unified framework for the development of planning and control algorithms for active sensing, with examples of applications for a range of specific sensor technologies. The methods presented can be characterized as information-driven because their goal is to optimize the value of information, rather than to optimize traditional guidance and navigation objectives.

Silvia Ferrari is the John Brancaccio Professor of Mechanical and Aerospace Engineering in the Sibley School of Mechanical and Aerospace Engineering at Cornell University.

Thomas A. Wettergren is Research Scientist in Applied Mathematics and Adjunct Professor at the University of Rhode Island.