This book provides strategies for multiple vehicles to explore unknown
environments in a cooperative and systematic manner. These strategies
are called Simultaneous Cooperative Exploration and Networking (SCENT)
strategies. As the basis for development of SCENT strategies, we first
tackle the motion control and planning for one vehicle with range
sensors. In particular, we develop the curve-tracking controllers for
autonomous vehicles with rigidly mounted range sensors, and a provably
complete exploration strategy is proposed so that one vehicle with range
sensors builds a topological map of an environment. The SCENT algorithms
introduced in this book extend the exploration strategy for one vehicle
to multiple vehicles. As the result of the SCENT algorithms, an
information network is created concurrently with a topological map of an
environment. The resulting network and the topological map are then used
to solve coordinated multi-robot tasks, such as capturing intruders. The
efficiency of the proposed SCENT algorithms is verified through
theoretical investigations as well as experiments using mobile robots.