Title: Artificial Intelligent Robotics
1Artificial Intelligent Robotics
Lecture Two
By Ten-min Lee
2Controlling Robots
How are the sensors linked to the motors? This
lecture we will see some examples of ways to do
this, and then well fill in the theory over the
next few lectures.
3Grey Walters Turtles
4Grey Walters Turtles
These simple robots had A photocell that
detected light A bumper sensor that detected if
the shell was touched A front driving wheel
that also controlled what direction the light
sensor pointed in Batteries 2 nerve cells
5Grey Walters Turtles
6 Grey Walters Turtles The robots
had a few very simple behaviors programmed into
them Seek weak light Avoid bright light Turn
and push if you hit something What could they do
with that?
7Turtle Behavior
8Turtle Behavior
Head towards different lights Choosing
9Turtle Behavior
Avoid obstacles
10Turtle Behavior
Recharge autonomously
11Turtle Behavior
Recognize themselves in a mirror
12Turtle Behavior
Follow each other and race back home for
recharging.
13 Emergence Simple rules
operating together can lead to complex behaviors
14 Behaviors in Robots Behaviors
are simple building blocks for actions They may
be inspired by biology They have a modular
design each behavior can be built and tested
separately before they are integrated Together
they can lead to complex actions that may be
considered intelligent.
15 Braitenbergs Vehicles In 1984
Valentino Braitenberg wrote Vehicles
Experiments in Synthetic Psychology. This simple
book described a set of thought experiments where
the simplest possible robots were given behaviors
that an unknowing observer would consider to
demonstrate human-like emotions.
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22 Braitenbergs Vehicles We can make
considerably more complicated vehicles by Using
more sensors Using more complex
connections Using non-linear connections (so the
speed is not linear) Making the environment more
complicated
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24 Summary Very simple robots
produce emergent behaviors that can be considered
intelligent.