Lecture slides for Automated Planning: Theory and Practice. Chapter 14 Temporal Planning. Dana S. Nau University of Maryland 12:21 PM July 26, 2014. Temporal Planning. Motivation: want to do planning in situations where actions have nonzero duration may overlap in time
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Automated Planning: Theory and Practice
Chapter 14Temporal Planning
Dana S. Nau
University of Maryland
12:21 PMJuly 26, 2014
1. Use logical atoms, and extend the usual planning operators to include temporal conditions on those atoms
2. Use state variables, and specify change and persistence constraints on the state variables
1 = rloc(r1)@t2:(loc1, routes)
2 = rloc(r1)@t4:(loc2, routes)
move(ts, te, t1, t2, r, l, l') =
a1
a2
set of sets of enablers
{(/)}
loc4