This book investigates the complex challenges of coordinating multiple autonomous vehicles for effective search and classification tasks. It addresses the critical need for robust decision-making algorithms and sophisticated sensor management strategies to enable these systems to operate efficiently and reliably in dynamic environments. The work explores how to optimize the collective behavior of a fleet of vehicles, ensuring comprehensive coverage and accurate identification of targets while managing the limitations of individual sensors and computational resources.

This technical monograph likely presents a detailed exploration of advanced algorithms and methodologies within the field of autonomous systems. Its focus on decision-making and sensor management suggests a readership of researchers, engineers, and advanced students in robotics and artificial intelligence. The subject matter indicates a dense, academic treatment of complex computational and control problems.