Prof. Andrey V. Savkin received M.S. and Ph.D. degrees in mathematics from the Leningrad State University, Saint Petersburg, Russia, in 1987 and 1991, respectively. From 1987 to 1992, he was with the Television Research Institute, Leningrad, Russia. From 1992 to 1994, he held a Postdoctoral position in the Department of Electrical Engineering, Australian Defence Force Academy, Canberra. From 1994 to 1996, he was a Research Fellow in the Department of Electrical and Electronic Engineering and the Cooperative Research Centre for Sensor Signal and Information Processing, University of Melbourne, Australia. From 1996 to 2000, he was a Senior Lecturer, and then an Associate Professor in the Department of Electrical and Electronic Engineering, University of Western Australia, Perth. Since 2000, he has been a Professor in the School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW, Australia. His current research interests include robust control and state estimation, hybrid dynamical systems, guidance, navigation and control of mobile robots, applications of control and signal processing in biomedical engineering and medicine. He has authored and co-authored 5 research monograph (published by Birkhauser and IEEE Press/Wiley) and about 100 journal papers. Almost all Matveev's journal publications are in top international journals, such as “Automatica”, “International Journal of Control”, “IEEE Transactions on Automatic Control”. Prof. Matveev is responsible for many theoretical advances in the areas of optimal control, hybrid systems, networked control systems, and robot navigation.

• PrefaceAbbreviationsFrequently used notations1 Introduction2 Fundamentals of sliding mode control3 Survey of algorithms for safe navigation of mobile robots in complex Environments4 Shortest path algorithm for navigation of wheeled mobile robots among steady obstacles5 Reactive navigation of wheeled robots for border patrolling6 Safe navigation to a target in unknown cluttered static environments based on border patrolling algorithms7 Algorithm for reactive navigation of nonholonomic robots in maze-like environments8 Biologically-inspired algorithm for safe navigation of a wheeled robot among moving obstacles9 Reactive navigation among moving and deforming obstacles: Problems of border patrolling and avoiding collisions10 Seeking a path through the crowd: Robot navigation among unknowingly moving obstacles based on an integrated representation of the environment11 A globally converging reactive algorithm for robot navigation in scenes densely cluttered with moving and deforming obstacles12 Safe cooperative navigation of multiple wheeled robots in unknown steady environments with obstaclesBibliography Index

Prof. Andrey V. Savkin received M.S. and Ph.D. degrees in mathematics from the Leningrad State University, Saint Petersburg, Russia, in 1987 and 1991, respectively. From 1987 to 1992, he was with the Television Research Institute, Leningrad, Russia. From 1992 to 1994, he held a Postdoctoral position in the Department of Electrical Engineering, Australian Defence Force Academy, Canberra. From 1994 to 1996, he was a Research Fellow in the Department of Electrical and Electronic Engineering and the Cooperative Research Centre for Sensor Signal and Information Processing, University of Melbourne, Australia. From 1996 to 2000, he was a Senior Lecturer, and then an Associate Professor in the Department of Electrical and Electronic Engineering, University of Western Australia, Perth. Since 2000, he has been a Professor in the School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW, Australia. His current research interests include robust control and state estimation, hybrid dynamical systems, guidance, navigation and control of mobile robots, applications of control and signal processing in biomedical engineering and medicine. He has authored and co-authored 5 research monograph (published by Birkhauser and IEEE Press/Wiley) and about 100 journal papers. Almost all Matveev's journal publications are in top international journals, such as “Automatica”, “International Journal of Control”, “IEEE Transactions on Automatic Control”. Prof. Matveev is responsible for many theoretical advances in the areas of optimal control, hybrid systems, networked control systems, and robot navigation.

• PrefaceAbbreviationsFrequently used notations1 Introduction2 Fundamentals of sliding mode control3 Survey of algorithms for safe navigation of mobile robots in complex Environments4 Shortest path algorithm for navigation of wheeled mobile robots among steady obstacles5 Reactive navigation of wheeled robots for border patrolling6 Safe navigation to a target in unknown cluttered static environments based on border patrolling algorithms7 Algorithm for reactive navigation of nonholonomic robots in maze-like environments8 Biologically-inspired algorithm for safe navigation of a wheeled robot among moving obstacles9 Reactive navigation among moving and deforming obstacles: Problems of border patrolling and avoiding collisions10 Seeking a path through the crowd: Robot navigation among unknowingly moving obstacles based on an integrated representation of the environment11 A globally converging reactive algorithm for robot navigation in scenes densely cluttered with moving and deforming obstacles12 Safe cooperative navigation of multiple wheeled robots in unknown steady environments with obstaclesBibliography Index