This Project was completed as part of my Research in the Kumar Robotics Lab at UPenn
We propose a novel Artifical Potential Field based Path Planning Algorithm
The proposed algorithm can be used in higher dimensional systems, and uses pseudo-stochastic smapling techniques
The algorithm introduces poitional penalties that penalize the agent for being stuck in local basins and consequently result in a dynamic change of optimization landscape