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Drone Autonomy (2021)

81 points by cgg1

by amemi

0 subcomment

It does not seem that the author cites the source of the control theory map. It was created by Brian Douglas [1], an engineer whose YouTube videos [2] are great for learning core topics.
Also useful is Steve Brunton's channel [3]. He has a freely available book [4] co-authored with Nathan Kutz that ties machine learning and control.
[1] https://engineeringmedia.com/ [2] https://www.youtube.com/@BrianBDouglas [3] https://www.youtube.com/@Eigensteve [4] https://news.ycombinator.com/item?id=36374528

by YeGoblynQueenne

1 subcomments

This is a great introduction to all the technology that people have developed over the years (since the 1970's!) to make robots autonomous, that, unfortunately, have never quite worked. As I like to point out, if we knew how to make drones (or any kind of robot) really, actually autonomous you'd see them used first of all in Ukraine, and recently in Lebanon. You don't, all the drones used in warfare are remote-controlled. Autonomy doesn't work yet. Not well enough to deploy in a theater of war.
Btw, I did really enjoy the graphic sumarising Control Theory. I'd criticise the lack of Planning and Scheduling, i.e. the PDDL-based symbolic AI stuff which is the technology that works best and is used e.g. by NASA on Perseverance, but OK, there's basically three communities that attack the same problem from different angles: Model Predictive Control, Planning & Scheduling, and RL. Two out of three is not too bad (but I don't see how RL goes under CT; never mind).

by greenpizza13

0 subcomment

The fact that people just make this stuff and make it available to others is the most amazing thing about the internet (and the people on it).

by CamperBob2

2 subcomments

by infl8ed

0 subcomment

by preetham_rangu

0 subcomment

by wizread

0 subcomment