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Vision-based feedback strategy for controlled pushing of microparticles

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Abstract

A strategy for controlled pushing is presented for microassembly of 4.5μm polystyrene particles on a flat glass substrate using an atomic force microscope probe tip. Real-time vision based feedback from a CCD camera mounted to a high resolution optical microscope is used to track particle positions relative to the tip and target position. Tip–particle system is modeled in 2D as a non-holonomic differential drive robot. Effectiveness of the controller is demonstrated through experiments performed using a single goal position as well as linking a series of target positions to form a single complex trajectory. Cell decomposition and wavefront expansion algorithms are implemented to autonomously locate a navigable path to a specified target position. Control strategy alleviates problem of slipping and spinning during pushing.

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Acknowledgments

This work was supported in part by a grant from the Commonwealth of Pennsylvania, Department of Community and Economic Development, through the Pennsylvania Infrastructure Technology Alliance (PITA), and partially by the NSF CAREER award program (Sitti, IIS-0448042).

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Correspondence to Nicholas A. Lynch.

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Lynch, N.A., Onal, C.D., Schuster, E. et al. Vision-based feedback strategy for controlled pushing of microparticles. J. Micro-Nano Mech. 4, 73–83 (2008). https://doi.org/10.1007/s12213-008-0008-8

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  • DOI: https://doi.org/10.1007/s12213-008-0008-8

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