Reinforcement learning-based simulation and automation for tower crane 3D lift planning

Tower crane lift planning is important to timely provide resources to workplaces. However, previous planning approaches are still impractical because the lifting time of a plan is barely considered and the lifting path is frequently non-executable by operators. This paper describes a reinforcement l...

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Vydáno v:	Automation in construction Ročník 144; s. 104620
Hlavní autoři:	Cho, SungHwan, Han, SangUk
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.12.2022
Témata:	3D dynamic simulation Motion planning Path planning Reinforcement learning algorithms: on-policy and off-policy Reward function Tower crane Tower crane Motion planning 3D dynamic simulation Path planning Reward function Reinforcement learning algorithms: on-policy and off-policy
ISSN:	0926-5805, 1872-7891
On-line přístup:	Získat plný text
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