2014 IEEE/RSJ International Conference on Intelligent Robots and Systems 2014
DOI: 10.1109/iros.2014.6942769
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Characterization of the precision manipulation capabilities of robot hands via the continuous group of displacements

Abstract: Abstract-In robot hands, precision manipulation, defined as repositioning of a grasped object within the hand workspace without breaking or changing contact, is a fundamental operation for the accomplishment of highly dexterous manipulation tasks. This paper presents a method to characterize the precision manipulation capabilities of a given robot hand regardless of the particularities of the grasped object. The technique allows determining the composition of the displacement manifold (finite motion) of the gr… Show more

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Cited by 4 publications
(2 citation statements)
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“…Hence, there are not uncontrollable degrees of freedom in the hand-object system (step 5). This example was also discussed in [13] with equivalent results, but here we amend some of the steps in the deduction of equation (13).…”
Section: A 3-fingered Hand With Ur Fingers and Opposable Rr Thumb (3mentioning
confidence: 91%
See 1 more Smart Citation
“…Hence, there are not uncontrollable degrees of freedom in the hand-object system (step 5). This example was also discussed in [13] with equivalent results, but here we amend some of the steps in the deduction of equation (13).…”
Section: A 3-fingered Hand With Ur Fingers and Opposable Rr Thumb (3mentioning
confidence: 91%
“…A comprehensive list of nonidentity intersections between subgroups of displacements can be found in [11] (Table C.3). A preliminary version of the presented framework for manipulation characterization was introduced in [13], where it was limited to contacts modeled as point contact with friction. In this work, we further extend that framework by modeling the effects of a fingertip contacting a body as kinematic chains using an extension of the Bruyninckx-Hunt approach of surface-surface contact [14], what allows using all standard contact categories of robotic manipulation (e.g., point contact with friction, soft finger) as well as other contact models, such as ball, tubular, and frictional adaptive finger contacts.…”
Section: Planar Jointmentioning
confidence: 99%