David Bombara
University of Nevada, Reno
5 Papers
David Bombara is an academic researcher from University of Nevada, Reno. The author has contributed to research in topics: Filter (video) & Actuator. The author has an hindex of 2, co-authored 5 publications.
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Papers
Compliant, Large-Strain, and Self-Sensing Twisted String Actuators.
TL;DR: This study proposes the design, modeling, and robotic application of TSAs that are compliant, can produce large strain, and are capable of self-sensing during twisting-induced actuation, and is successfully demonstrated in a low-cost three-dimensionally printed compliant robotic gripper.
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Experimental Characterization and Modeling of the Self-Sensing Property in Compliant Twisted String Actuators
David Bombara,Revanth Konda,Jun Zhang +2 more
- 02 Feb 2021
TL;DR: In this article, the authors proposed a self-sensing model that consists of a log-based nonlinear term, a rate-dependent Prandtl-Ishlinskii hysteresis term, and a creep term for the compliant TSAs.
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•Posted Content
Automated real-time spectral characterization of phase-change tunable optical filters using a linear variable filter and infrared camera
TL;DR: In this paper, an open-source MATLAB-controlled real-time performance characterization system consisting of an inexpensive linear variable filter (LVF) and mid-wave infrared camera, capable of switching the PCM-based filters while simultaneously recording in situ filter performance metrics and spectral filtering profile.
Compliant and Large-Strain Twisted String Actuators using Supercoiled Polymers
Jun Zhang,David Bombara,Steven Fowzer,Cianan Brennan +3 more
- 01 May 2020
TL;DR: A novel strategy is proposed to simultaneously increase the compliance and maximum strain of TSAs by replacing stiff strings with stretchable and coiled nylon strings, called supercoiled polymer (SCP) strings, which confirms the enhanced performance of the proposed TSA using SCPs.
Self-Sensing for Twisted String Actuators Using Conductive Supercoiled Polymers
David Bombara,Vasilii Mansurov,Revanth Konda,Steven Fowzer,Jun Zhang +4 more
- 05 Dec 2019
TL;DR: In this article, self-sensing strategies are presented to estimate twisted string actuator (TSA) strains without external sensors. But the authors do not consider the use of external position sensors.