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Constraint-Driven Robotic Surfaces, At Human-Scale

Jesse T. Gonzalez, Sonia Prashant, Sapna Tayal, Juhi Kedia, Alexandra Ion, Scott E. Hudson

Year
2023
Citations
10

Abstract

Robotic surfaces, whose form and function are under computational control, offer exciting new possibilities for environments that can be customized to fit user-specific needs. When these surfaces can be reprogrammed, a once-static structure can be repurposed to serve multiple different roles over time. In this paper, we introduce such a system. This is an architectural-scale robotic surface, which is able to begin in a neutral state, assume a desired functional shape, and later return to its neutral (flat) position. The surface can then assume a completely different functional shape, all under program control.

Keywords

Computer scienceSurface (topology)Constraint (computer-aided design)Position (finance)Scale (ratio)Function (biology)RobotControl (management)Artificial intelligenceEngineering

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