The paper presents a new formal way of modeling and designing reconfigurable robots, in which case the robots are allowed to reconfigure not only structurally but also functionally. We call such kind of robots “self-evolvable”, which have the potential to be more flexible to be used in a wider range of tasks, in a wider range of environments, and with a wider range of users. To accommodate such a concept, i.e., allowing a self-evovable robot to be configured and reconfigured, we present a series of formal constructs, e.g., structural reconfigurable grammar and functional reconfigurable grammar. Furthermore, we present a correct-by-construction strategy, which, given the description of a workspace, the formula specifying a task, and a set of available modules, is capable of constructing during the design phase a robot that is guaranteed to perform the task satisfactorily. We use a planar multi-link manipulator as an example throughout the paper to demonstrate the proposed modeling and designing procedures.
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ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
August 6–9, 2017
Cleveland, Ohio, USA
Conference Sponsors:
- Design Engineering Division
- Computers and Information in Engineering Division
ISBN:
978-0-7918-5823-3
PROCEEDINGS PAPER
Correct-by-Construction Approach for Self-Evolvable Robots
Gang Chen,
Gang Chen
University of California, Davis, Davis, CA
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Zhaodan Kong
Zhaodan Kong
University of California, Davis, Davis, CA
Search for other works by this author on:
Gang Chen
University of California, Davis, Davis, CA
Zhaodan Kong
University of California, Davis, Davis, CA
Paper No:
DETC2017-68049, V009T07A051; 10 pages
Published Online:
November 3, 2017
Citation
Chen, G, & Kong, Z. "Correct-by-Construction Approach for Self-Evolvable Robots." Proceedings of the ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 9: 13th ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications. Cleveland, Ohio, USA. August 6–9, 2017. V009T07A051. ASME. https://doi.org/10.1115/DETC2017-68049
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