A new framework of a hierarchical vision-motion planning for a mobile robot under uncertainty is proposed. An optimal plan is generated by twolevel planning: global route selection and local path planning. In global route selection, a sequence of observation points to acquire sufficient information to reach a destination is determined. Both the cost and the uncertainty of vision are considered ...

Finding an optimal path for a robot in a soccer field involves different parameters such as the positions of the robot, positions of the obstacles, etc. Due to simplicity and smoothness of Ferguson Spline, it has been employed for path planning between arbitrary points on the field in many research teams. In order to optimize the parameters of Ferguson Spline some evolutionary or intelligent al...

The problem of constrained coverage path planning involves a robot trying to cover maximum area of an environment under some constraints that appear as obstacles in the map. Out of the several coverage path planning methods, we consider augmenting the linear sweep-based coverage method to achieve minimum energy/ time optimality along with maximum area coverage. In addition, we also study the ef...