![Graphs and ML for Robotics - podcast episode cover](https://static.libsyn.com/p/assets/f/e/c/5/fec5d36a0d1c7a58e55e3c100dce7605/graphs-and-ml-for-robotics-cover.jpg)
Episode description
We are joined by Abhishek Paudel, a PhD Student at George Mason University with a research focus on robotics, machine learning, and planning under uncertainty, using graph-based methods to enhance robot behavior. He explains how graph-based approaches can model environments, capture spatial relationships, and provide a framework for integrating multiple levels of planning and decision-making.