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For large self-reconfiguring robots, any algorithm that requires linear amounts of memory per module (with respect to the number of modules) or linear time for computation or communication per actuation is undesirable. While shape-forming may require linear amounts of memory, locomotion can be performed with simpler shape specifications, and therefore sublinear algorithms are possible. In this paper,...
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