The Heading Weight Function: A Novel LiDAR-Based Local Planner for Nonholonomic Mobile Robots.

In this paper, we present a novel method for obstacle avoidance designed for a nonholonomic mobile robot. The method relies on light detection and ranging (LiDAR) readings, which are mapped into a polar coordinate system. Obstacles are taken into consideration when they are within a predefined radius from the robot.