A motion planning approach to folding: From paper craft to protein folding

A motion planning approach to folding: From paper craft to protein folding (2001)

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by Guang Song , Nancy M. Amato

Venue:	In Proc. IEEE Int. Conf. Robot. Autom. (ICRA
Citations:	25 - 8 self

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Datum	Value	Source
TITLE	A motion planning approach to folding: From paper craft to protein folding	INFERENCE
AUTHOR NAME	Guang Song	SVM HeaderParse 0.2
AUTHOR AFFIL	Department of Computer Science; Texas A&M University	SVM HeaderParse 0.2
AUTHOR NAME	Nancy M. Amato	SVM HeaderParse 0.2
AUTHOR AFFIL	Department of Computer Science; Texas A&M University	SVM HeaderParse 0.2
ABSTRACT	In this paper, we present a framework for studying folding problems from a motion planning perspective. In particular, all folding objects are modeled as tree-like multi-link articulated `robots', where fold positions correspond to joints and areas that cannot fold correspond to links. This formulation allows us to apply recent techniques developed in the robotics motion planning community for articulated objects with many degrees of freedom (many links) to folding problems. An important bene t of this approach is that it not only allows us to study foldability questions, such as, can one object be folded (or unfolded) into another object, but also enables us to study the dynamic folding process itself. The framework proposed here has application in traditional motion planning areas such as automation, teaching through demonstration, animation, and most importantly, presents a di erent approach to the most profound problem in computational biology: protein struction prediction. Indeed, our preliminary experimental results with traditional paper crafts (e.g., box folding) and a relatively small protein are quite promising.	SVM HeaderParse 0.2
YEAR	2001	INFERENCE
VENUE	In Proc. IEEE Int. Conf. Robot. Autom. (ICRA	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
PAGES	948--953	INFERENCE
TECH	Technical Report 00-001	INFERENCE
CITATIONS	37 found	ParsCit 1.0