(2004)
It Takes Two Neurons to Ride a Bicycle (2004)
11–20 of 90 posts
Re: It Takes Two Neurons to Ride a Bicycle (2004)
#12Re: It Takes Two Neurons to Ride a Bicycle (2004)
#13I do love the visualization of "Instability of an unsteered bicycle" in figure 2 though.
Re: It Takes Two Neurons to Ride a Bicycle (2004)
#14Re: It Takes Two Neurons to Ride a Bicycle (2004)
#15Does a Raspberry Pi have enough computing power to run these two neurons in the real world? Could I attach motors and sensors to a real bike and have it drive itself? That would be amazing.
Re: It Takes Two Neurons to Ride a Bicycle (2004)
#16Does a Raspberry Pi have enough computing power to run these two neurons in the real world? Could I attach motors and sensors to a real bike and have it drive itself? That would be amazing.
This is just a PID controller, they have existed and been used in industry much longer than computers and thus require almost no computing power at all. Everyone taking higher level engineering courses learns how to design these because almost everything uses them. Honestly I thought that the paper was a joke on how everything is called neural network, but maybe it is serious... https://en.wikipedia.org/wiki/PID_cont…
Re: It Takes Two Neurons to Ride a Bicycle (2004)
#17Does a Raspberry Pi have enough computing power to run these two neurons in the real world? Could I attach motors and sensors to a real bike and have it drive itself? That would be amazing.
This is just a PID controller, they have existed and been used in industry much longer than computers and thus require almost no computing power at all. Everyone taking higher level engineering courses learns how to design these because almost everything uses them. Honestly I thought that the paper was a joke on how everything is called neural network, but maybe it is serious... https://en.wikipedia.org/wiki/PID_cont…
Re: It Takes Two Neurons to Ride a Bicycle (2004)
#18Earlier quoted context omitted.
This is just a PID controller, they have existed and been used in industry much longer than computers and thus require almost no computing power at all. Everyone taking higher level engineering courses learns how to design these because almost everything uses them. Honestly I thought that the paper was a joke on how everything is called neural network, but maybe it is serious... https://en.wikipedia.org/wiki/PID_cont…
I'm with you here. Did no-one else do robotics in CS?
For contrast, the bioengineering track at my state college did include electronics (along with programming, high level math and of course biology and chemistry).
Re: It Takes Two Neurons to Ride a Bicycle (2004)
#19Nice paper. It makes me wonder how different the two 'neurons' are from a classical control theory set of equations (w/ gains in a feedback loop) solving for the same plant model. I do love the visualization of "Instability of an unsteered bicycle" in figure 2 though.
After checking out the slides I kind of feel that there might be some oversimplification in the used simulator, like producing _the desired lean angle_ might not be enough. But I am no expert.
Re: It Takes Two Neurons to Ride a Bicycle (2004)
#20I wish math notation becomes substitued with pseudocode. I can never figure out all the greek letters!