Overview
- Presents safe autonomy including the theoretical development, solutions, and analysis of feasibility guarantees
- Discusses how the CBF approach can be used for most autonomous systems and proposes safety guarantees
- Establishes the basic concepts, definitions, and algorithms required to understand the CBF approach
Part of the book series: Synthesis Lectures on Computer Science (SLCS)
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Table of contents (10 chapters)
Keywords
About this book
Authors and Affiliations
About the authors
Calin Belta, Ph.D, is a Professor in the Department of Mechanical Engineering at Boston University, where he holds the Tegan family Distinguished Faculty Fellowship. He is also the Director of the BU Robotics Lab. He received B.Sc. and M.Sc. degrees from the Technical University of Iasi and M.Sc. and Ph.D. degrees from the University of Pennsylvania. His research interests include dynamics and control theory, with particular emphasis on hybrid and cyber-physical systems, formal synthesis and verification, and applications in robotics and systems biology. He has received the Air Force Office of Scientific Research Young Investigator Award and the National Science Foundation CAREER Award. He is a Fellow and Distinguished Lecturer of IEEE.
Bibliographic Information
Book Title: Safe Autonomy with Control Barrier Functions
Book Subtitle: Theory and Applications
Authors: Wei Xiao, Christos G. Cassandras, Calin Belta
Series Title: Synthesis Lectures on Computer Science
DOI: https://doi.org/10.1007/978-3-031-27576-0
Publisher: Springer Cham
eBook Packages: Synthesis Collection of Technology (R0), eBColl Synthesis Collection 12
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-031-27575-3Published: 11 May 2023
Softcover ISBN: 978-3-031-27578-4Due: 10 June 2023
eBook ISBN: 978-3-031-27576-0Published: 09 May 2023
Series ISSN: 1932-1228
Series E-ISSN: 1932-1686
Edition Number: 1
Number of Pages: XX, 212
Number of Illustrations: 2 b/w illustrations, 54 illustrations in colour
Topics: Control, Robotics, Mechatronics, Control and Systems Theory, Machine Learning, Complexity, Artificial Intelligence, Robotics and Automation