An Effective Path Planning of Mobile Robot Using Genetic Algorithm

This paper provides a different kind of approach to the dynamic motion planning problems of mobile robots in uncertain dynamic environments based on the behavior dynamics from a control point of view. The conceptual behavior of a mobile robot in motion planning is regarded as a dynamic process of the interaction between the robot and its local environment, and it is modeled and controlled for the purpose of motion planning. Based on behavior dynamics, the dynamic motion planning problem of mobile robots is transformed into a control problem of the integrated planning and control system and the dynamic motion planning problem can be transformed into an optimization problem in the robot's acceleration space. Mobile robot path planning is one of the critical issues in the design of robotic work cells. This paper deals with the design of a battery operated mobile robot and its path planning. Analysis of various robots is conducted and it is found that the robot used in our paper is the best one with high accuracy and had fastest response.