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Multiscale motion planning

Multiscale planning is introduced as a nested system of state space search processes which provide for exceptionally efficient computational algorithms. It is demonstrated that search in the output space allows for efficient planning/control procedures. The results of 2-level nested hierarchical planning are given as a representative simulation example. It is demonstrated that multiscale searching achieves results similar to those obtained by human strategies of planning.