Augmented manual fabrication methods for 2D tool positioning and 3D sculpting

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2013.

Bibliographic Details
Main Author: Rivers, Alec (Alec Rothmyer)
Other Authors: Frédo Durand.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2013
Subjects:
Online Access:http://hdl.handle.net/1721.1/79215
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author Rivers, Alec (Alec Rothmyer)
author2 Frédo Durand.
author_facet Frédo Durand.
Rivers, Alec (Alec Rothmyer)
author_sort Rivers, Alec (Alec Rothmyer)
collection MIT
description Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2013.
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spelling mit-1721.1/792152019-04-12T09:03:24Z Augmented manual fabrication methods for 2D tool positioning and 3D sculpting Rivers, Alec (Alec Rothmyer) Frédo Durand. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2013. Cataloged from PDF version of thesis. Includes bibliographical references (p. 67-75). Augmented manual fabrication involves using digital technology to assist a user engaged in a manual fabrication task. Methods in this space aim to combine the abilities of a human operator, such as motion planning and large-range mechanical manipulation, with technological capabilities that compensate for the operator's areas of weakness, such as precise 3D sensing, manipulation of complex shape data, and millimeter-scale actuation. This thesis presents two new augmented manual fabrication methods. The first is a method for helping a sculptor create an object that precisely matches the shape of a digital 3D model. In this approach, a projector-camera pair is used to scan a sculpture in progress, and the resulting scan data is compared to the target 3D model. The system then computes the changes necessary to bring the physical sculpture closer to the target 3D shape, and projects guidance directly onto the sculpture that indicates where and how the sculpture should be changed, such as by adding or removing material. We describe multiple types of guidance that can be used to direct the sculptor, as well as several related applications of this technique. The second method described in this thesis is a means of precisely positioning a handheld tool on a sheet of material using a hybrid digital-manual approach. An operator is responsible for manually moving a frame containing the tool to the approximate neighborhood of the desired position. The device then detects the frame's position and uses digitally-controlled actuators to move the tool within the frame to the exact target position. By doing this in a real time feedback loop, a tool can be smoothly moved along a digitally-specified 2D path, allowing many types of digital fabrication over an unlimited range using an inexpensive handheld tool. by Alec Rivers. Ph.D. 2013-06-17T19:48:11Z 2013-06-17T19:48:11Z 2013 2013 Thesis http://hdl.handle.net/1721.1/79215 844752919 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 75 p. application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science.
Rivers, Alec (Alec Rothmyer)
Augmented manual fabrication methods for 2D tool positioning and 3D sculpting
title Augmented manual fabrication methods for 2D tool positioning and 3D sculpting
title_full Augmented manual fabrication methods for 2D tool positioning and 3D sculpting
title_fullStr Augmented manual fabrication methods for 2D tool positioning and 3D sculpting
title_full_unstemmed Augmented manual fabrication methods for 2D tool positioning and 3D sculpting
title_short Augmented manual fabrication methods for 2D tool positioning and 3D sculpting
title_sort augmented manual fabrication methods for 2d tool positioning and 3d sculpting
topic Electrical Engineering and Computer Science.
url http://hdl.handle.net/1721.1/79215
work_keys_str_mv AT riversalecalecrothmyer augmentedmanualfabricationmethodsfor2dtoolpositioningand3dsculpting