In this project, we aim to investigate how path planning based on boundary value problems (BVP) can be used to allow a mobile robot to efficiently explore an unknown environments. We consider the robot can extract meaninful features from the environment using its range finder sensor and associate them to boundary conditions of the BVP. These features influence the decision of the robot during its navigation. The results of this project will be used as input for investigating new approaches to allow a UAV to efficiently explore unknown environments, i.e., we consider the robot can extract meaningful features from the environment using its camera and associate them to boundary conditions of the BVP. These features influence the decision of the robot during its navigation.
Environment structure information-oriented efficient exploratory navigation
