Randomized trial investigates reconfiguration algorithms in modular robotic systems, suggesting new methods and insights.
The sliding cubes model serves as a well-established theoretical framework for formalizing and analyzing reconfiguration algorithms in modular robotic systems built from face-connected cubic modules. We extend the parallel sliding cubes model from two to three dimensions, presenting new algorithms, surprising complexity results, and a generalization of the best known bounds from two to three dimensions. A companion video visualizes and explains our results.
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Akitaya et al. (2026) studied this question.
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