Results
The stress field are generated using different Machine learning approaches based on Neural Network and Ensemble modeling Techniques
Prediction of stress field around a burrowing robot from stress field at prior locations. The project is part of NSF funded project to Build Robot for Sub-surface Soil Exploration lead by Dr. Chloe Arson
The aim is to build a more roboust Machine Learning model based on Convoltional Neural Network trained using sythetic dataset generated by icorporating Random Field theory
The stress field are generated using different Machine learning approaches based on Neural Network and Ensemble modeling Techniques