Robot Navigation, Kalman Filters | 1001: Intro to Robotics podcast #1 with Humberto Ramos

Humberto Ramos was a controls and mechatronic design professor at the Universidad Politécnica del Sur de Zacatecas. In 2020 he obtained his Ph.D. in aerospace engineering from Texas A&M University. In 2020 he joined UF first as a postdoctoral researcher and then as a research scientist and manager of the Autonomous Vehicles Laboratory at the UF REEF facility. Here he continues collaborations with the Air Force Research Laboratory on GPS-denied navigation systems for Guidance, Navigation, and Control applications, extending the Kalman filter's practical applicability.

OUTLINE:

0:00 - intro

1:24 - different areas of autonomy 

3:20 - navigation and estimators 

8:22 - causes of sensor noise

10:40 - sensor bias

12:20 - designing an estimator and linear models

14 Observability analysis

20 bad sound 

22:15 - kalman filters abd benefits

26:50 - how does the KF work?

32:01 - how to get the actual value. We know the error

37:20 - improving applicability of KF

EPISODE LINKS:

Huumberto’s profile: https://mae.ufl.edu/people/profiles/humberto-ramos/

Youtube channel: https://www.youtube.com/@Humbert312/featured

PODCAST INFO:

Spotify:  https://open.spotify.com/episode/7lIxLKAKO8pDt6vkmU7TBX

Anchor: https://anchor.fm/andres-pulido5

Full episodes playlist: https://www.youtube.com/playlist?list=PLFn7Fn5wd5p-quHz_YdoxrUryu0MRP6d0

SOCIAL:

Twitter: https://twitter.com/andrespulido28

LinkedIn: https://www.linkedin.com/in/andres-a-pulido/