Springer Performance Evaluation and Benchmarking of Intelligent Systems

This volume examines performance evaluation and benchmarking of intelligent systems. The chapters cover a range of applications, such as assistive robotics, planetary surveying, urban search and rescue, and line tracking for automotive assembly. Review From the reviews: “This book is the result of the 2008 performance Metrics for Intelligent Systems Workshop at the National Institute of Standards and Technology (NIST). It investigates intelligent systems, starting with multiagent systems … . presents an impressive quantity of data, diagrams, proposals, experimental methods, and open topics, and also includes current solutions and relevant literature. … Intelligent systems developers and users will be able to build on this book’s material.” (G. Gini, ACM Computing Reviews, December, 2009) From the Back Cover Performance Evaluation and Benchmarking of Intelligent Systems presents research dedicated to the subject of performance evaluation and benchmarking of intelligent systems by drawing from the experiences and insights of leading experts gained both through theoretical development and practical implementation of intelligent systems in a variety of diverse application domains. This contributed volume offers a detailed and coherent picture of state-of-the-art, recent developments, and further research areas in intelligent systems. The chapters cover a broad range of applications, such as assistive robotics, planetary surveying, urban search and rescue, and line tracking for automotive assembly. Subsystems or components described in this book include human-robot interaction, multi-robot coordination, communications, perception, and mapping. Chapters are also devoted to simulation support and open source software for cognitive platforms, providing examples of the type of enabling underlying technologies that can help intelligent systems to propagate and increase in capabilities. Performance Evaluation and Benchmarking of Intelligent Systems serves as a professional reference for researchers and practitioners in the field. This book is also applicable to advanced courses for graduate level students and robotics professionals in a wide range of engineering and related disciplines including computer science, automotive, healthcare, manufacturing, and service robotics.