Web: https://www.reddit.com/r/MachineLearning/comments/ujnlyd/r_looking_for_resources_on_hybrid_modeling_using/

May 6, 2022, 1:34 p.m. | /u/MalleMinkukel

Machine Learning reddit.com

For my master thesis (mechanical engineering) I'm working on a hybrid model of a robotic manipulator. The goal is to extend the existing, physics-based, model with a machine learning component that aims to learn the unmodelled dynamics. I've read about PINN's and PGNN's, but they don't quite seem to capture the methodology I'm looking for. To give a clearer direction, I want to develop a model similar to [this paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9337893).

Thanks in advance.

hybrid learning machine machine learning machinelearning modeling on physics resources

Director, Applied Mathematics & Computational Research Division

@ Lawrence Berkeley National Lab | Berkeley, Ca

Business Data Analyst

@ MainStreet Family Care | Birmingham, AL

Assistant/Associate Professor of the Practice in Business Analytics

@ Georgetown University McDonough School of Business | Washington DC

Senior Data Science Writer

@ NannyML | Remote

Director of AI/ML Engineering

@ Armis Industries | Remote (US only), St. Louis, California

Digital Analytics Manager

@ Patagonia | Ventura, California