Mobile Robot Motion Planning for a Sequence of Goals
Robotics, Navigation, Path Planning
Efficient path planning considering a sequence of goals in a manufacturing scenario is still
challenging for nonholonomic robots. In this paper, we present an approach to improve the
efficiency of path planning considering a sequence of goals for robots of type differential
drive and skid-steer. Besides using a near-optimal sampling-based algorithm applied in
a map with real inflating obstacles, virtual obstacles are added to the map to help the
generation of smoother paths that lead the robot from the start pose to its goals poses
faster, with fewer mechanical efforts, and less power consumption.