Steering

Auxiliary steering out.

It's not steering, it's flight.

This is the linkage we're making between the lexer and the parser.

A car has one steering wheel.

The steering wheel shakes too much.

So I wrote a steering algorithm.

How would you do this? You would keep the steering constant? You would use random steering commands?

From an engineering point of view, this is just a little four bar linkage.

There is no handle, no steering, nothing?

Yeeha! Grip the steering wheel of destiny!

A young girl was at the steering wheel.

I turned my steering wheel to the right.

The steering wheel is strange. I'm going in.

Watch the mental workload, and watch the steering.

He turned the steering wheel the other way about.

It's a pretty harrowing linkage between what's happening to our environment and what's happening to our human rights.

Steering wheels of American cars are on the left side.

Hideo turned the steering wheel sharply to avoid the bicyclist.

The wing has no steering controls, no flaps, no rudder.

He's going to have to correct for that with steering.

I have a few error checks here to make sure the steering doesn't exceed the max steering angle, and the same is true for distance.

British and Japanese cars have steering wheels on the right side.

The steering wheels on American cars are on the left side.

They actuate the steering wheel they use the brake, the gas.

In the way I taught it it felt like we could set the steering wheel to any set point instantaneously but a physical steering wheel has inertia.

Random steering, if you ever implement this, is a really bad idea.

You can see the steering tends to be on the negative side.

Here we're steering at the first turn, here we're on the straightaway.

It's your steering wheel! Damn thing jerked right out of my hands.

The steering wheel moves by itself, the gas, the brakes... it's sheer magic.

It's a continuous thing, because your steering is continuous, and time is continuous.

With a bit of careful steering, who knows how much a hedge could produce.

Wheel Mount. And if you haven't, go ahead and Google iPad Steering Wheel Mount.

Cast off that silly little plastic guitar, and grip the steering wheel of destiny!

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

I just add Gaussian noise with the corresponding steering noise and distance noise parameters.

Let's make a new controller where steering is proportional to the crosstrack errors before.

That's really the goal, because if you put in steering, then you reinvent the airplane.

A constant steering will put you in a circle and not in a straight line.

I didn't because the control methods are not quite as interesting as the steering control methods.

That is, your steering angle is proportional by some factor of tau to the crosstrack error.

This is the tangents of the noisy steering times the distance moved divided by the robot length.

Control is now the art of turning these abstract, discrete, and chucky paths into actual steering motion.

When you drive your car, when you steer your car, you use a method called Ackermann steering.