Evaluating Task Optimization and Reinforcement Learning Models in Robotic Task Parameterization

The rapid evolution of industrial robot hardware has created a technological gap with software, limiting its adoption. The software solutions proposed in recent years have yet to meet the industrial sector’s requirements, as they focus more on the definition of task structure than the def...

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Bibliographic Details
Main Authors: Michele Delledonne, Enrico Villagrossi, Manuel Beschi, Alireza Rastegarpanah
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10759640/
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