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As cyber-physical systems become more prevalent, specifications for these systems must be formulated in a more nuanced manner. This paper presents a particular instantiation of such specification by proposing a framework that endows robotic motions with a sense of aesthetic style. Drawing inspiration from classical ballet, poses are cast as discrete states(More)
Clustering is a powerful tool for data classification; however, its application has been limited to analysis of static snapshots of data which may be time-evolving. This work presents a clustering algorithm that employs a fixed time interval and a time-aggregated similarity measure to determine classification. The fixed time interval and a weighting(More)
In this article, we draw inspiration from the formal principals of movement organization in basic classical ballet. A grammar for leg positions in ballet movements restricted to the coronal plane is specified. Ballet is a highly ordered behavior of a truly complex biological system whose attributes have important analogs in systems theory that warrant(More)
Adaptive multiscale prognostics and health management (AM-PHM) is a methodology designed to support PHM in smart manufacturing systems. As a rule, PHM information is not used in high-level decision-making in manufacturing systems. AM-PHM leverages and integrates component-level PHM information with hierarchical relationships across the component, machine,(More)
From movement analysis literature, such as the work of Bartenieff, and motion capture and anatomical evidence, it is known that the core of human body plays an important role in walking motion. Motivated by these findings, a biped robot with core-located actuation, which causes the center of mass to change, has been proposed. In this paper, a planar model(More)