Graphs and ML for Robotics

Summary

The post features Abhishek Paudel, a PhD student who uses graph‑based methods to improve robotics, machine learning, and planning under uncertainty. He explains how graphs can model environments, capture spatial relationships, and serve as a unifying framework for multi‑level planning and decision‑making. The author highlights the practical benefits of integrating graph structures into robot behavior, emphasizing their role in handling uncertainty and enhancing overall system performance.