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Paradigms of A.I. Robotics

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Generating Potential Field<br />

Definition. Given S ⊂ R 2 , a vector field on S is a function F : S → R 2 . That is, F<br />

associates a vector to every point in S.<br />

FACT: Every potential field is a vector field, and most potential fields are<br />

conservative vector fields, i.e. they are (more or less) the gradient <strong>of</strong> potential<br />

energy functions.<br />

Remark. Think <strong>of</strong> potential energy functions as a landscape with hills and valleys and the<br />

potential field is the vector field generated by mapping the instantaneous change in each<br />

direction at every point in the landscape.<br />

FACT: Magnitude pr<strong>of</strong>iles define potential energy functions! I.e. Given a<br />

potential energy function, U : R 2 → R + , the potential field associated to U is<br />

F(⃗r) = −▽U(⃗r),⃗r ∈ R 2 .<br />

<strong>Paradigms</strong> <strong>of</strong> A.I. <strong>Robotics</strong> – p.33/

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