Somehow this is only the first time I have seen this vector taken advantage of with my own eyes.
I remember thinking it was a stupid idea to embed third party hosted JS back when jquery and prototypejs were the duopoly of javascript. I'm surprised it took me this long to see it.
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).
"You don't, all the drones used in warfare are remote-controlled."
Is this really true. My (admittedly) naive understanding was that in a first phase radio remote controlled drones were used. Then jamming became widespread and they tried to counteract with fiber-optic drones but they never caught on.
I thought that since we see more drones then ever now it must be a hint that most of them must autonomous to some degree now.
My understanding of the Shahed's is that they are relatively simple. They can be programmed with a certain destination and then have some basic image recognition that allows them to "choose" exactly their target based on computer vision, e.g. the shape of a building or radar station. So in that sense, they are autonomous. To my mind, they are more cheap precision missiles (more like a tomahawk) than an autonomous drone.
Predators are a whole different beast. They are semi-autonomous airplanes, that can be controlled by satellite or AWAC or whatever. Almost certainly with the ability to loiter or escape if they lose contact with their controllers
Shaheds (some models) have loitering ability, and other "autonomy" features. Tbh the term is as fuzzy as "AGI" or "self-driving" these days because there are a bunch of automatisms that a drone can have that are often labelled so. However, an autonomous system should do much more than go to a designated location and fire at a target that looks like it might be the designated target. I mean to say, pathfinding and image recognition do not autonomy make; or they shouldn't be said to anyway.
As I like to say of course, self-guided missiles are arguably autonomous; but that's just because their whole job is to reach a target while causing maximum damage on hit. That removes many of the requirements of other "autonomous" systems (e.g. self-driving cars).
P.S. I honestly don't know much about Predators but I expect they're going to have the most advanced features available.
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.
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[ 0.44 ms ] story [ 45.2 ms ] threadThat's where the sign in request is coming from
I remember thinking it was a stupid idea to embed third party hosted JS back when jquery and prototypejs were the duopoly of javascript. I'm surprised it took me this long to see it.
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).
Is this really true. My (admittedly) naive understanding was that in a first phase radio remote controlled drones were used. Then jamming became widespread and they tried to counteract with fiber-optic drones but they never caught on.
I thought that since we see more drones then ever now it must be a hint that most of them must autonomous to some degree now.
https://www.nbcnews.com/world/lebanon/hezbollah-adopts-new-w...
Predators are a whole different beast. They are semi-autonomous airplanes, that can be controlled by satellite or AWAC or whatever. Almost certainly with the ability to loiter or escape if they lose contact with their controllers
As I like to say of course, self-guided missiles are arguably autonomous; but that's just because their whole job is to reach a target while causing maximum damage on hit. That removes many of the requirements of other "autonomous" systems (e.g. self-driving cars).
P.S. I honestly don't know much about Predators but I expect they're going to have the most advanced features available.
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