Eytan Canzini
Eytan Canzini
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Automatic
Multi-Agent Systems
Decision Making For Multi-Robot Fixture Planning Using Multi-Agent Reinforcement Learning
To create optimal fixturing plans for autonomous manufacturing, we combine a team theoretic approach to understanding optima with reinforcement learning to find fixturing plans.
Eytan Canzini
,
Marc Auledas-Noguera
,
Simon Pope
,
Ashutosh Tiwari
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