2000
DOI: 10.1109/70.843172
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Part orientation with one or two stable equilibria using programmable force fields

Abstract: Programmable force elds are an abstraction to represent a new class of devices for distributed, nonprehensile manipulation for applications in parts feeding, sorting, positioning, and assembly. Unlike r o b o t grippers, conveyor belts, or vibratory bowl feeders, these devices generate force vector elds in which the parts move u n til they may reach a stable equilibrium pose.Recent research in the theory of programmable force elds has yielded open-loop strategies to uniquely position, orient, and sort parts. T… Show more

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Cited by 74 publications
(48 citation statements)
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“…The proof of this proposition can be found in [7]. Proposition 3 states that a stable equilibrium configuration corresponds to a value of i where the equilibrium curve crosses the y-axis from …”
Section: Proposition 3 For Anymentioning
confidence: 99%
See 2 more Smart Citations
“…The proof of this proposition can be found in [7]. Proposition 3 states that a stable equilibrium configuration corresponds to a value of i where the equilibrium curve crosses the y-axis from …”
Section: Proposition 3 For Anymentioning
confidence: 99%
“…An extensive survey of previous and related work in the area of programmable force fields is offered in [7]. In this paper we only give a brief summary.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…One interesting class of force fields are potential fields in which the work integral is zero along any circular path. Such fields are the squeeze field [3,4,11], the elliptical field [3,7,11], and the radial plus gravity field [3,8]. These potential fields can translate and rotate a part to equilibrium configurations.…”
Section: Related Workmentioning
confidence: 99%
“…They are the squeeze, elliptical, and radial plus gravity fields. A polygonal part can be uniquely oriented up to symmetries with a sequence of squeeze fields [3,4]. However, we have to select different sequences of squeeze fields for different parts.…”
Section: Our Approachmentioning
confidence: 99%