Pros & Cons of Reinforcement Learning - illustrated by the Problem of Controlling Gantry Robots

In this talk a solution for the dynamic scheduling of flexible flow shop systems using gantry robots for material handling by means of simulation and Reinforcement Learning (RL) is presented. Subsequently the pros and cons of a RL approach are briefly discussed and illustrated at the robot control problem.

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Publication Details

Journal
Arrow - TU Dublin (Technological University Dublin)
Published
2025-09-09
DOI
https://doi.org/10.21427/qqn0-wn48
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
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article

Pros & Cons of Reinforcement Learning - illustrated by the Problem of Controlling Gantry Robots

Arrow - TU Dublin (Technological University Dublin)
Geochemistry and Geologic Mapping
article

Pros & Cons of Reinforcement Learning - illustrated by the Problem of Controlling Gantry Robots

article en

Abstract

In this talk a solution for the dynamic scheduling of flexible flow shop systems using gantry robots for material handling by means of simulation and Reinforcement Learning (RL) is presented. Subsequently the pros and cons of a RL approach are briefly discussed and illustrated at the robot control problem.

Arrow - TU Dublin (Technological University Dublin)
Technological University Dublin (IE)
Decent work and economic growth
Openalex Percentile: Top 47%
Geochemistry and Geologic Mapping
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Pros & Cons of Reinforcement Learning - illustrated by the Problem of Controlling Gantry Robots · Arrow - TU Dublin (Technological University Dublin) (2025) | TGRS Research Map | TGRS