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Design and Control of Compliant Tensegrity Robots Through Simulation and Hardware ValidationTo better understand the role of tensegrity structures in biological systems and their application to robotics, the Dynamic Tensegrity Robotics Lab at NASA Ames Research Center has developed and validated two different software environments for the analysis, simulation, and design of tensegrity robots. These tools, along with new control methodologies and the modular hardware components developed to validate them, are presented as a system for the design of actuated tensegrity structures. As evidenced from their appearance in many biological systems, tensegrity ("tensile-integrity") structures have unique physical properties which make them ideal for interaction with uncertain environments. Yet these characteristics, such as variable structural compliance, and global multi-path load distribution through the tension network, make design and control of bio-inspired tensegrity robots extremely challenging. This work presents the progress in using these two tools in tackling the design and control challenges. The results of this analysis includes multiple novel control approaches for mobility and terrain interaction of spherical tensegrity structures. The current hardware prototype of a six-bar tensegrity, code-named ReCTeR, is presented in the context of this validation.
Document ID
20140010928
Acquisition Source
Ames Research Center
Document Type
Preprint (Draft being sent to journal)
External Source(s)
Authors
Caluwaerts, Ken
(Ghent Univ. Belgium)
Despraz, Jeremie
(Ecole Polytechnique Federale de Lausanne Switzerland)
Iscen, Atil
(Oregon State Univ. Corvallis, OR, United States)
Sabelhaus, Andrew P.
(California Univ. Berkeley, CA, United States)
Bruce, Jonathan
(California Univ. Santa Cruz, CA, United States)
Schrauwen, Benjamin
(Ghent Univ. Belgium)
Sunspiral, Vytas
(Stinger Ghaffarian Technologies, Inc. (SGT, Inc.) Moffett Field, CA, United States)
Date Acquired
August 22, 2014
Publication Date
July 29, 2014
Subject Category
Engineering (General)
Cybernetics, Artificial Intelligence And Robotics
Report/Patent Number
ARC-E-DAA-TN15953
Funding Number(s)
CONTRACT_GRANT: NNA08CG83C
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
Robotics
Tensegrity
Controls
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