Skip to content
TrackPodcasts
technologyNov 4, 202441:59pending

Graphs and ML for Robotics

Data Skeptic

About this episode

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.

Get every episode summarized

Each time Data Skeptic publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.

Email me new episodes

Free for 3 shows. No card needed.

Hosts & guests

No transcript yet

This episode has not been transcribed. Request it and it moves to the front of the queue.

Graphs and ML for Robotics

Data Skeptic

0:00
41:59

More episodes

More from Data Skeptic

View all episodes →