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Identifying Opportunities for the Design of Innovative Reconfigurable Robotics

[+] Author Affiliations
Ricardo Sosa, Kristin L. Wood, Rajesh E. Mohan

Singapore University of Technology and Design, Singapore, Singapore

Paper No. DETC2014-35568, pp. V007T07A010; 8 pages
doi:10.1115/DETC2014-35568
From:
  • ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 7: 2nd Biennial International Conference on Dynamics for Design; 26th International Conference on Design Theory and Methodology
  • Buffalo, New York, USA, August 17–20, 2014
  • Conference Sponsors: Design Engineering Division, Computers and Information in Engineering Division
  • ISBN: 978-0-7918-4640-7
  • Copyright © 2014 by ASME

abstract

The creative design of reconfigurable robots presents challenges that can be tackled by the application of transformation principles for innovative design. This paper extends previous work in the systematic extraction of transformation principles in mechanical systems and reports new results that apply to the design of innovative reconfigurable robotics. Definitions of key terms are revised and a deductive research approach is used to expand and complement the conceptual classification of design operators (principles, facilitators and guidelines) based on semantic analysis of lexical structure, written and spoken conventions. The aim of this work is to produce a comprehensive taxonomy and semantic representation that can be used in the systematic identification of opportunities for the design of innovative solutions in reconfigurable robotics. This semantically robust, comprehensive and cross-domain conceptual taxonomy is tested in the mapping of large knowledge bases, demonstrating its potential to characterize large solution spaces and to identify new opportunities for the design of innovative solutions. Specialized assessments in the area of robotics and design show that this method successfully captures the qualitative reasoning of seasoned practitioners and has a clear potential to inform the design of innovative transformer designs.

Copyright © 2014 by ASME
Topics: Design , Robotics

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