Stenobird

Episode

Graphs and ML for Robotics

Podcast
Data Skeptic
Published
Nov 4, 2024
Duration seconds
2519
Processing state
failed
Canonical source
https://dataskeptic.com/blog/episodes/2024/graphs-and-ml-for-robotics
Audio
https://pscrb.fm/rss/p/mgln.ai/e/35/traffic.libsyn.com/secure/dataskeptic/graphs-and-ml-for-robotics.mp3?dest-id=201630
JSON
/v1/public/podcasts/data-skeptic/episodes/graphs-and-ml-for-robotics
Markdown
/podcast/data-skeptic/graphs-and-ml-for-robotics.md

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Summary

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.