| Abstract: | This project involves the utilization of holonomic vehicle simulations to accomplish goals related to path-planning implementation. Holonomic vehicles are those whose controllable degrees of freedom are equal to the total number of degrees of freedom, and in order to achieve path-planning goals through varied environments with obstacles autonomously, concepts related to control as well as machine learning concepts must be applied. The ultimate goal is to use the concepts of integral reinforcement learning to achieve path-planning goals. |