I make a new robot copy as in my sample code in class.

And you can see the original one is much more succinct, but also it's more subject to noise.

Measurements are multiplications, and motion become essentially convolutions which are shifts with added noise.

I copy all the narrowing parameters length, bearing noise, steering noise, and distance noise.

Here I'll apply the noise, which you don't need it for the first implementation, but later on as we go on, you need it to actually add noise.

There are numerous inherited faults that could make the machine process noisier.

I can work out the forces required in one of my muscles as a function of time.

I now just initialized these positions remain numbers but also assume a certain amount of noise that goes with each particle, 0.05 for the translational noise, 0.05 for the rotational noise, and 5.0 for the measurement noise in those ranges.

Enable Noise ReductionUse wavelets to erase noise while preserving real detail.

Some aqua vitae, ho! my lord! my lady! Enter Lady Capulet.

The move function should be very familiar at this point.

We now apply our resampling method whereby we draw twice from this particle over here.

But the medium is lossy it's subject to a lot of noise and interference.

Here are multiple runs using the same code, and you can see they're far from optimal.

So one thing that makes controlling movement difficult is, for example, sensory feedback is extremely noisy.

There's one last change we have to do to make this code run. We have to actually assume that there is measurement noise.

So our story ends at the beginning the beginning of all things, the Big Bang.

Let's now model a second motion. Say x2 is 5 apart.

Noise

Noise

I'm sorry for this.

I should warn you that sometimes I do get collisions here, and it's because our obstacle surfaces are relatively large.

(Static) It's a terrible sound.

Enable noise reduction

The magnitude of r goes to 1 as the relationship becomes increasingly linear without any noise or any deviation from the line.

It's that simple.

This code has a little bit more stuff than you just talked about.

Breath Noise

Then we have a very simple sense function, which measures the robot's (x, y) location, similar to a GPS on a car but with substantial measurement noise.

And by knowing when it is you're talking, it gets rid of the other noises that it knows about, which is the environmental noises.

If the space I'm sending it in is not effective, that communication can't happen.

Noise is produced by the sudden flow of current into a solenoid.

Noise Reduction...

Noise Reduction

If there is 0 measurement noise, then this function will end up dividing by 0.

In Monte Carlo localization, we don't predict the exact outcome. We add noise.

Photograph Noise Reduction Settings File to Save

There was data within the streams of news that we consume.

So if I pick the same command through many times,

Noise algorithm

Guitar Fret Noise

And if we pick it up, it will be music to our ears because it will be the quiet echo of that moment of our creation, of our observable universe.

The high point of the Public Theater, I think, was in 1996, two years after I designed it, which was the Bring in 'da Noise, Bring in 'da Funk campaign that was all over New York.

Here's the same call recorded from a hydrophone 500 miles away.

Some have 0.13, but the one over here has a probability of 0.533.