Reactive navigation in dynamic environment using a multisensor predictor

Abstract

A reactive navigation system for an autonomous mobile robot in unstructured dynamic environments is presented. The motion of moving obstacles is estimated for robot motion planning and obstacle avoidance. A multisensor-based obstacle predictor is utilized to obtain obstacle-motion information. Sensory data from a CCD camera and multiple ultrasonic rangefinders are combined to predict obstacle positions at next sampling instant. A neural network, which is trained off-line, provides the desired prediction on-line in real lime. The predicted obstacle configuration is employed by the proposed virtual-force-based navigation method to prevent collision with moving obstacles. Simulation results are presented to verify the effectiveness of the proposed navigation system in an environment with multiple mobile robots or moving objects. This system was implemented and tested on an experimental mobile robot at our laboratory. Navigation results in real environment are presented and analyzed.