2020
DOI: 10.1109/access.2020.3031279
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Dynamics of Tensegrity Robots With Negative Stiffness Elements

Abstract: Tensegrity structures have unique features such as low mass to payload ratio, strength, and robustness. Therefore, they present great potential in robotics, aerospace, and civil engineering. The dynamics of tensegrity robots is highly nonlinear and constrained. As a result, their modeling, simulation, state estimation, and control are non-trivial. Strings in tensegrity structures are usually modeled as linear springs. Utilization of nonlinear elastic/damping elements in tensegrities would further enrich their … Show more

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Cited by 4 publications
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“…Many research groups dealing with designing an appropriate model and control [23,24], using deep reinforcement learning [25,26], model predictive control [27], and convex optimization [28]. Some researchers design models with negative stiffness components [29]; that idea is a promising approach for system property optimization. Another attractive property of tensegrity structures is the presence of multiple equilibria and the ability to switch between them in order to reach higher power capabilities [30].…”
Section: Introductionmentioning
confidence: 99%
“…Many research groups dealing with designing an appropriate model and control [23,24], using deep reinforcement learning [25,26], model predictive control [27], and convex optimization [28]. Some researchers design models with negative stiffness components [29]; that idea is a promising approach for system property optimization. Another attractive property of tensegrity structures is the presence of multiple equilibria and the ability to switch between them in order to reach higher power capabilities [30].…”
Section: Introductionmentioning
confidence: 99%