all AI news
Optimizing Modular Robot Composition: A Lexicographic Genetic Algorithm Approach
March 5, 2024, 2:45 p.m. | Jonathan K\"ulz, Matthias Althoff
cs.LG updates on arXiv.org arxiv.org
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, presenting a substantial …
abstract adapt algorithm arxiv cs.lg cs.ne cs.ro diverse environments flexibility form general hardware industrial industrial robots modular requirements robot robots type
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Business Intelligence Architect - Specialist
@ Eastman | Hyderabad, IN, 500 008