An Object-Based Path Planning Using Grids-Potential Fields for Intelligent Robot

An object-based approach was proposed for the path planning of the intelligent robot to avoid obstacles in the complex environment to shorten the computation time. This approach combines the artificial potential field method and grid method. The object-based approach can enhance the robots navigation and obstacle avoidance ability. In the approach, grid model is used to describe the obstacles, while the artificial potential field is used to navigation. This approach can avoid local minimum, reduce the search volume, shorten the search path and improve the robot's navigation strategy and the capacity of obstacle avoidance.