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dc.contributor.authorBohringer, Karl F.en_US
dc.contributor.authorDonald, Bruce R.en_US
dc.contributor.authorMacDonald, Noel C.en_US
dc.date.accessioned2007-04-23T18:04:20Z
dc.date.available2007-04-23T18:04:20Z
dc.date.issued1995-10en_US
dc.identifier.citationhttp://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR95-1545en_US
dc.identifier.urihttps://hdl.handle.net/1813/7202
dc.description.abstractThis paper explores how to use programmable vector fields to control flexible planar parts feeders. For a description of these devices and their actuation technology, see our companion paper, Part~I~\cite{BohringerDonaldMacDonald96b}\ifDRAFT{}\else{, also submitted to ICRA}\fi . When a part is placed on our devices, the programmed vector field induces a force and moment upon it. Over time, the part may come to rest in a dynamic equilibrium state. By chaining together sequences of vector fields, the equilibria may be cascaded to obtain a desired final state. By analyzing and constraining the equilibria of programmable vector fields, we can generate and execute plans to orient and sort parts. These plans require no sensing. This paper describes new manipulation algorithms using the tools developed in Part~I~\cite{BohringerDonaldMacDonald96b}. In particular, we improve existing planning algorithms by a quadratic factor, and the plan-length by a linear factor. Using our new and improved strategies, we show how to simultaneously orient and pose any part, without sensing, from an arbitrary initial configuration. We relax earlier dynamic and mechanical assumptions to obtain more robust and flexible strategies. Finally, we consider parts feeders that can only implement a very limited "vocabulary" of vector fields (as opposed to the pixel-wise programmability assumed above). We show how to plan and execute parts-posing and orienting strategies for these devices, but with a significant increase in planning complexity and some sacrifice in completeness guarantees. We discuss the tradeoff between mechanical complexity and planning complexity.en_US
dc.format.extent411973 bytes
dc.format.extent4287865 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/postscript
dc.language.isoen_USen_US
dc.publisherCornell Universityen_US
dc.subjectcomputer scienceen_US
dc.subjecttechnical reporten_US
dc.titleNew and Improved Manipulation Algorithms for MEMS Arrays and Vibratory PartsFeeders: What Programmable Vector Fields Can (and Cannot) Do --- Part IIen_US
dc.typetechnical reporten_US


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