What are Robotic Paradigms?
A paradigm is a philosophy or set of assumptions -PARADIGM- and/or techniques which characterizean approach to a class of problems. It is both a way of looking at the world
and an implied set of tools for solving problems. No one paradigm is right;
rather, some problems seem better suited for different approaches. For example,
consider calculus problems. There are problems that could be solved
by differentiating in cartesian (X; Y;Z) coordinates, but are much easier to
solve if polar coordinates (r; ) are used. In the domain of calculus problems,
Cartesian and polar coordinates represent two different paradigms for viewing
and manipulating a problem. Both produce the correct answer, but one
takes less work for certain problems.
Applying the right paradigm makes problem solving easier. Therefore,
knowing the paradigms of AI robotics is one key to being able to successfully
program a robot for a particular application. It is also interesting from a historical
perspective to work through the different paradigms, and to examine
the issues that spawned the shift from one paradigm to another.
ROBOTIC PARADIGMS- There are currently three paradigms for organizing intelligence in robots:
hierarchical, reactive, and hybrid deliberative/reactive. The paradigms are
described in two ways.
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