Distributed Coordination Theory for Robot Teams, 1st ed. 2022 Lecture Notes in Control and Information Sciences Series, Vol. 490

Distributed Coordination Theory for Robot Teams develops control algorithms to coordinate the motion of autonomous teams of robots in order to achieve some desired collective goal. It provides novel solutions to foundational coordination problems, including distributed algorithms to make quadrotor helicopters rendezvous and to make ground vehicles move in formation along circles or straight lines. The majority of the algorithms presented in this book can be implemented using on-board cameras.

This book will provide practitioners, researchers and students in the field of control and robotics new insights in distributed multi-agent systems.

Ashton Roza received the Bachelor of Applied Science (BASc) degree in Electrical Engineering in 2010 from the University of Waterloo, Canada. He received the Master of Applied Science (MASc) degree in 2012 and the PhD degree in 2019, both from the Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, Canada. His research focuses on the application of nonlinear control and geometric methods to coordination in networks of autonomous robots. He has published papers in the IEEE Transactions on Automatic Control and IEEE Transactions on Control of Networked Systems.

Manfredi Maggiore was born in Genoa, Italy. He received the "Laurea" degree in Electronic Engineering in 1996 from the University of Genoa and the PhD degree in Electrical Engineering from the Ohio State University, USA, in 2000. Since 2000 he has been with the Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, Canada, where he is currently Professor. He has been a visiting Professor at the University of Bologna (2007-2008), and the Laboratoire des Signaux et Systèmes, Ecole CentraleSupélec (2015-2016, 2017, 2018). His research focuses on mathematical nonlinear control, and relies on methods from dynamical systems theory and differential geometry. In 2018, he won the Faculty Teaching Award at the University of Toronto. Dr. Maggiore has co-authored two books with Wiley and Springer. He is Associate Editor of the IEEE Transactions on Control Systems Technology and Control Engineering Practice.

Luca Scardovi received the Laurea degree and Ph.D. degree in Electronic and Computer Engineering from the University of Genoa, Italy, in 2001 and 2005 respectively. He held research associate positions at the Department of Electrical Engineering and Computer Science at the University of Liège, Belgium (2005-2007) and at the Department of Mechanical and Aerospace Enginee

Rigorously develops solutions to well established distributed coordination problems

Supports further exploration through a comprehensive bibliography of the latest research

Explains methods, algorithms and proofs clearly and thoroughly, encouraging easy implementation