G
Gursel Alici
Researcher at University of Wollongong
Publications - 374
Citations - 12197
Gursel Alici is an academic researcher from University of Wollongong. The author has contributed to research in topics: Actuator & Soft robotics. The author has an hindex of 54, co-authored 366 publications receiving 9968 citations. Previous affiliations of Gursel Alici include Australian Research Council & Monash University.
Papers
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Fundamentals and applications of inertial microfluidics: a review
Jun Zhang,Sheng Yan,Dan Yuan,Gursel Alici,Nam-Trung Nguyen,Majid Ebrahimi Warkiani,Weihua Li +6 more
TL;DR: This review discusses the fundamental kinematics of particles in microchannels to familiarise readers with the mechanisms and underlying physics in inertial microfluidic systems and presents a comprehensive review of recent developments and key applications of inertialMicrofluidics systems according to their microchannel structures.
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Enhanced stiffness modeling, identification and characterization for robot manipulators
Gursel Alici,Bijan Shirinzadeh +1 more
TL;DR: It has been found that although the component of the stiffness matrix differentiating the enhanced stiffness model from the conventional one is not always positive definite, the resulting stiffness matrix can still be positive definite.
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A Review of Localization Systems for Robotic Endoscopic Capsules
TL;DR: This paper presents a comprehensive overview of the localization systems for robotic endoscopic capsules, for which the motivation, challenges, and possible solutions of the proposed localization methods are also discussed.
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Electroactive polymer actuators as artificial muscles: are they ready for bioinspired applications?
TL;DR: A brief overview on the full range of EAP actuator types and the most significant areas of interest for applications is presented, hoped that this overview can instruct the reader on how EAPs can enable bioinspired motion systems.
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A systematic technique to estimate positioning errors for robot accuracy improvement using laser interferometry based sensing
Gursel Alici,Bijan Shirinzadeh +1 more
TL;DR: The principal conclusion is that the approach of estimating position errors with some analytical functions is practical and generic, and most importantly it is effective enough to improve robot accuracy.