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Title:

Optimizing Modular Robot Composition: A Lexicographic Genetic Algorithm Approach

Document type:
Konferenzbeitrag
Contribution type:
Textbeitrag / Aufsatz
Author(s):
Jonathan Külz; Matthias Althoff
Abstract:
Industrial robots are designed as general-purpose hardware with limited ability to adapt to changing task requirements or environments. Modular robots, on the other hand, offer flexibility and can be easily customized to suit diverse needs. The morphology, i.e., the form and structure of a robot, significantly impacts the primary performance metrics acquisition cost, cycle time, and energy efficiency. However, identifying an optimal module composition for a specific task remains an open problem,...     »
Keywords:
Modular Robots, Genetic Algorithm, Lexicographic Optimization
Dewey Decimal Classification:
600 Technik
Horizon 2020:
CONCERT
Book / Congress title:
International Conference on Robotics and Automation
Organization:
IEEE
Year:
2024
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