Deep Reinforcement Learning for Robot Batching Optimization and Flow Control

Robot batching is an optimization problem found in many industrial applications. Current state-of-the-art approaches utilize a combination of heuristic based parameters and statistical analysis. This approach necessitates many tunable parameters, which again provides challenges when delivering syste...

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Bibliographic Details

Published in:	Procedia manufacturing Vol. 51; pp. 1462 - 1468
Main Authors:	Hildebrand, Max, Andersen, Rasmus S., Bøgh, Simon
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 2020
Subjects:	Artificial Intelligence in Smart Manufacturing Deep Reinforcement Learning Proximal Policy Optimization Robot Batching Deep Reinforcement Learning Robot Batching Artificial Intelligence in Smart Manufacturing Proximal Policy Optimization
ISSN:	2351-9789, 2351-9789
Online Access:	Get full text
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