M
Maxwell Fleming
Researcher at University of Nevada, Reno
Publications - 6
Citations - 273
Maxwell Fleming is an academic researcher from University of Nevada, Reno. The author has contributed to research in topics: Actuator & Underwater robotics. The author has an hindex of 4, co-authored 6 publications receiving 227 citations.
Papers
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Journal ArticleDOI
An IPMC-enabled bio-inspired bending/twisting fin for underwater applications
Viljar Palmre,Joel J. Hubbard,Maxwell Fleming,David Pugal,Sungjun Kim,Kwang J. Kim,Kwang J. Kim,Kam K. Leang +7 more
TL;DR: In this article, an ionic polymer metal composite (IPMC) actuator-based bio-inspired active fin capable of bending and twisting motion is presented, which can be used to realize complex deformation depending on the orientation and placement of the actuators.
Journal ArticleDOI
Monolithic IPMC fins for propulsion and maneuvering in bioinspired underwater robotics
TL;DR: In this article, an electrically driven ionic polymer-metal composite (IPMC) artificial muscle with uniquely patterned electrodes for creating complex deformations is presented, where the surface electrode pattern on the IPMC is created using a simple surface machining process.
Journal ArticleDOI
Mitigating IPMC back relaxation through feedforward and feedback control of patterned electrodes
TL;DR: In this paper, an integrated feed forward and feedback controller is employed to minimize back relaxation, while reducing the input voltage required, as compared to the case of the non-sectored IPMC.
Proceedings ArticleDOI
Characterization of Sectored-Electrode IPMC-Based Propulsors for Underwater Locomotion
TL;DR: In this paper, a thorough experimental study is performed on sectored IPMC actuators to characterize their performance, and the results can be used to guide the design of practical marine systems driven by IPMC propulsors.
Book ChapterDOI
Chapter 11:Precision Feedback and Feedforward Control of Ionic Polymer Metal Composite Actuators
TL;DR: This chapter focuses on feedback and feedforward control approaches for the precision control of IPMC actuators, and a model-based feedforward controller is described to compensate for dynamic effects.