Multi-strategic approach for robot path planning

The paper presents a proposal for an autonomous robot path planning system that uses several strategies to reach a target also in an a-priori unknown environment. The proposed method has learning capabilities that allow the robot to take advantage of previous experience, thus improving its performance during successive traveling in the same environment. The proposed multistrategic approach has been tested both on a software simulator and on a real robot.