Y
Yu Zhou
Researcher at University of Minnesota
Publications - 12
Citations - 396
Yu Zhou is an academic researcher from University of Minnesota. The author has contributed to research in topics: Medicine & Cancer research. The author has an hindex of 7, co-authored 8 publications receiving 386 citations. Previous affiliations of Yu Zhou include University of Illinois at Chicago.
Papers
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Journal ArticleDOI
Sensor-based microassembly of hybrid MEMS devices
TL;DR: The use of vision-based feedback has been identified as one of the more promising approaches for controlling the microassembly process, and the field of visual servoing is discussed as discussed by the authors.
Journal ArticleDOI
Calibration of a parametric model of an optical microscope
Yu Zhou,Bradley J. Nelson +1 more
TL;DR: In this article, a parametric model and calibration algorithm for optical microscopes is proposed, which extends existing camera calibration techniques to include the unique parameters of optical micro-scopes and also allows the use of a single calibration plane perpendicu- lar to the optical axis.
Proceedings ArticleDOI
Adhesion force modeling and measurement for micromanipulation
Yu Zhou,Bradley J. Nelson +1 more
TL;DR: In this paper, a high-resolution force sensor using optical beam deflection techniques for characterizing object interactions at the microscale is presented. But the results of this analysis are limited to a variety of micropart shapes and materials.
Proceedings ArticleDOI
The effect of material properties and gripping force on micrograsping
Yu Zhou,Bradley J. Nelson +1 more
TL;DR: The optical beam deflection sensor is based on modified atomic force microscopy techniques and is able to resolve forces below a nano-Newton, and provides insight into the mechanics of micromanipulation and micrograsping strategies are developed.
Journal ArticleDOI
Integrating Optical Force Sensing with Visual Servoing for Microassembly
TL;DR: Experimental results that investigate the integration of two disparate sensing modalities, force and vision, for sensor-based microassembly are presented, which will aid in the development of complex hybrid MEMS devices in two ways; by enabling the microassembly of more complex MEMS prototypes; and in theDevelopment of automatic assembly machines for assembling and packaging future MEMs devices that require increasingly complex assembly strategies.