  Advances in hardware technology have facilitated more integration of
sophisticated software toward augmenting the development of Unmanned Vehicles
(UVs) and mitigating constraints for onboard intelligence. As a result, UVs can
operate in complex missions where continuous trans-formation in environmental
condition calls for a higher level of situational responsiveness and autonomous
decision making. This book is a research monograph that aims to provide a
comprehensive survey of UVs autonomy and its related properties in internal and
external situation awareness to-ward robust mission planning in severe
conditions. An advance level of intelligence is essential to minimize the
reliance on the human supervisor, which is a main concept of autonomy. A
self-controlled system needs a robust mission management strategy to push the
boundaries towards autonomous structures, and the UV should be aware of its
internal state and capabilities to assess whether current mission goal is
achievable or find an alternative solution. In this book, the AUVs will become
the major case study thread but other cases/types of vehicle will also be
considered. In-deed the research monograph, the review chapters and the new
approaches we have developed would be appropriate for use as a reference in
upper years or postgraduate degrees for its coverage of literature and
algorithms relating to Robot/Vehicle planning, tasking, routing, and trust.
