Handbook of Research on Ambient Intelligence and Smart Environments: Trends and Perspectives covers the cutting-edge aspects of AMI applications, specifically those involving the effective design, realization, and implementation of a comprehensive AmI application. This pertinent publication targets researchers and practitioners in Ambient Intelligence, as well as those in ubiquitous and pervasive computing, artificial intelligence, sensor networks, knowledge representation, automated reasoning and learning, system and software engineering, and man-machine interfaces.

Multi-robot Exploration for Environmental Monitoring: The Resource Constrained Perspective provides readers with the necessary robotics and mathematical tools required to realize the correct architecture. The architecture discussed in the book is not confined to environment monitoring, but can also be extended to search-and-rescue, border patrolling, crowd management and related applications. Several law enforcement agencies have already started to deploy UAVs, but instead of using teleoperated UAVs this book proposes methods to fully automate surveillance missions. Similarly, several government agencies like the US-EPA can benefit from this book by automating the process. Several challenges when deploying such models in real missions are addressed and solved, thus laying stepping stones towards realizing the architecture proposed. This book will be a great resource for graduate students in Computer Science, Computer Engineering, Robotics, Machine Learning and Mechatronics.

Recently, biologically inspired control approaches for robotic systems have been attracting considerable attention owing to the fact that most humans or animals move and walk easily without explicit motor control. However, there are many difficulties in controlling robotic systems exploiting neural network models such as Central Pattern Generators. Therefore, this book is intended for all those who have deep interest in applying a biologically inspired control scheme to robotic systems. In addition, this book introduces and describes a new methodology for feedback control system design that has great potential to enable robots to adapt to unknown environments. Inspired by the global entrainment property of human and animal locomotion incorporating neural oscillators and their networks, we expend considerable effort into realizing a new biologically inspired motion generation and control scheme for robotic systems. Hence, the authors believe that our study promises to play a breakthrough role in the field of robotics.