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Computational Design of Complex Assemblies
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Speaker (s):

Peng Song
Research Scientist
École Polytechnique Fédérale
de Lausanne (EPFL)
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Date:
Time:
Venue:
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February 13, 2019, Wednesday
10:00am - 11:00am
Meeting Room 5.1, Level 5
School of Information Systems
Singapore Management University
80 Stamford Road
Singapore 178902
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ABSTRACT
3D assemblies refer to objects that combine multiple component parts into a structure with a specific form and/or functionality. Due to the ability to make complex and/or large objects from simple and small parts, 3D assemblies are widely used, e.g., in toys, mechanism, furniture, and architecture. Designing complex assemblies is a challenging problem since we need to consider not only the geometry of parts and their local joining, but also the structural, functional and aesthetic performance of the whole assembly.
In this talk, I will outline a general computational approach for the fabrication-aware design of complex assemblies. The key ingredients of this approach include high-level assembly representations, geometric abstractions of physical properties, and advanced design exploration methods. I will focus on three examples of this approach: 1) interlocking assemblies with high structural stability; 2) functional mechanical assemblies that can display user-specified motions; and 3) reconfigurable assemblies that have multiple forms for use in different situations. All these designed assemblies are ready for fabrication and their physical performance have been validated in the experiments.
About the Speaker
Peng Song is a research scientist at EPFL, working with Prof. Mark Pauly since October 2017. He received his B.S. degree from Harbin Institute of Technology in 2007, M.S. degree from Harbin Institute of Technology (Shenzhen) in 2009, and Ph.D. from Nanyang Technological University, Singapore in 2013. His research interests lie in computer graphics, with a particular focus on the modelling, processing, design and fabrication of digital 3D geometry. His research works have been published in several leading journals and conferences, including ACM TOG, IEEE TVCG, CGF, and ACM CHI. More details about his research can be found at: https://songpenghit.github.io
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