Thomas Glotzbach spotlights that navigation within marine robotics can benefit from cooperative teams in a way that justifies the increased effort to operate several vehicles at once. He features discussions of different scenarios, modeling of systems, and estimation algorithms for comparable situations. The chapter on the used methodologies may allow a reader with only basic knowledge in control theory to obtain deeper insight in advanced concepts such as observability and state estimation, even without any background in marine robotics.
- Navigation in Marine Robotics: Methods, Classification, and State of the Art
- Problem Formulation and Definitions
- Mathematical Tools from Control and Systems Engineering
- Methods for Cooperative Navigation
- Optimal Sensor Placement in Marine Robotics
- Combination of Cooperative Navigation and Optimal Sensor Placement
- Researchers and students in the fields of automation, control systems, electrical and computational engineering
- Practitioners in marine robotics, mobile systems
Dr. Thomas Glotzbach obtained experience in maritime robotics as researcher at Technische Universität Ilmenau, Germany (doctoral and habilitation degree) and at Instituto Superior Técnico, Lisbon, Portugal. Since September 2019, he has been Professor of Control Engineering and Robotics at Technische Hochschule Mittelhessen – University of Applied Sciences, Germany.