Biologically inspired digital fabrication

Objects and systems in nature are models for the practice of sustainable design and fabrication. From trees to bones, natural systems are characterized by the constant interplay of creation, environmental response, and analysis of current structural constituents, as part of a larger dynamic system. In contrast, traditional methods of digital design and fabrication are characterized by a linear progression of three main stages: modeling (digital generation in the digital domain), analysis (digital mapping of the physical domain), and fabrication (physical generation of the digital domain). Moving towards a system process where modeling, analysis, and fabrication are integrated together for the development of a dynamic process will transform traditional fabrication technology and bring about the creation of sustainable and more efficient synthetic environments. Integration of modeling, analysis, and fabrication into one fluid process requires the development of a fabrication platform with capabilities for real time control. This thesis explores and investigates the creation of a framework for real time control of industrial robotic arms as part of a multipurpose fabrication platform.

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2013

Author dc:creator

• Han, Sarah (Sarah J.)

Advisor dc:contributor.advisor

• Neri Oxman.

• Electrical Engineering and Computer Science.

Statement dc:rights

• 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.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/85422

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/85422