Presentation + Paper
20 April 2022 Experimental shape control of cylindrical triplex tensegrity structures
Author Affiliations +
Abstract
Owing to their shape morphing capabilities and biomimetic nature, tensegrity structures offer a lightweight, adaptable, alternative to classical truss structures. Tensegrities comprise a collection of axially loaded compressive members (bars or struts) stabilized by a network of tension members (strings or cables), resulting in flexible structures which can be pre-stressed and actively controlled to change their shape. In this research, we study the morphing capabilities of the cylindrical triplex tensegrity by actively changing the length of the structure’s internal cable network. A geometric approach is used to characterize the full range of statically equilibrated shapes of a cylindrical triplex tensegrity structure. Then, trajectories are designed from a subset of equilibrated shapes and implemented in open-loop on an experimental triplex structure.
Conference Presentation
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nate S. Osikowicz, Kaila M. Roffman, Puneet Singla, and George A. Lesieutre "Experimental shape control of cylindrical triplex tensegrity structures", Proc. SPIE 12043, Active and Passive Smart Structures and Integrated Systems XVI, 120430G (20 April 2022); https://doi.org/10.1117/12.2613117
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Optical spheres

Control systems

Visualization

Model-based design

Computer vision technology

Machine vision

Stereoscopic cameras

RELATED CONTENT

Suggestive modeling for machine vision
Proceedings of SPIE (November 01 1992)
Visual Behavior and Intelligent Agents
Proceedings of SPIE (March 01 1990)
Free-form quadric surface patches
Proceedings of SPIE (August 01 1990)
Visual observation as reactive learning
Proceedings of SPIE (August 20 1992)
Relevance feedback-based building recognition
Proceedings of SPIE (July 14 2010)

Back to Top