Optimized Synthesis of Snapping Fixtures
Tom Tsabar, Efi Fogel, and Dan Halperin

TL;DR
This paper presents a method for designing optimized snapping fixtures that securely hold parts using minimal fingers, leveraging geometric principles and algorithms suitable for 3D printing and manufacturing.
Contribution
It introduces a novel geometric approach and algorithms for synthesizing snapping fixtures that are lightweight and maximize workpiece exposure, with proven minimal closure conditions.
Findings
Algorithm runs in O(n^3) time for optimal fixtures.
A robust implementation produces 3D-printable fixtures in O(n^4) time.
Applications include lightweight drone add-ons and jewelry stone holders.
Abstract
Fixtures for constraining the movement of parts have been extensively investigated in robotics, since they are essential for using robots in automated manufacturing. This paper deals with the design and optimized synthesis of a special type of fixtures, which we call \emph{snapping fixtures}. Given a polyhedral workpiece with vertices and of constant genus, which we need to hold, a snapping fixture is a semi-rigid polyhedron , made of a palm and several fingers, such that when and are well separated, we can push toward , slightly bending the fingers of on the way (exploiting its mild flexibility), and obtain a configuration, where is back in its original shape and and are inseparable as rigid bodies. We prove the minimal closure conditions under which such fixtures can hold parts, using Helly's theorem. We then introduce an algorithm running in…
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Taxonomy
TopicsManufacturing Process and Optimization · Robot Manipulation and Learning · Additive Manufacturing and 3D Printing Technologies
