A stable method for task priority adaptation in quadratic programming via reinforcement learning

In emerging manufacturing facilities, robots must enhance their flexibility. They are expected to perform complex jobs, showing different behaviors on the need, all within unstructured environments, and without requiring reprogramming or setup adjustments. To address this challenge, we introduce the...

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Bibliographic Details

Published in:	Robotics and computer-integrated manufacturing Vol. 91; p. 102857
Main Authors:	Testa, Andrea, Laghi, Marco, Bianco, Edoardo Del, Raiola, Gennaro, Hoffman, Enrico Mingo, Ajoudani, Arash
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.02.2025 Elsevier
Subjects:	Computer Science Machine Learning Machine learning for robot control Optimization and optimal control Reinforcement learning Robotics Machine learning for robot control Optimization and optimal control Reinforcement learning Reinforcement Learning Machine Learning for Robot Control Optimization and Optimal Control Optimization and Optimal Control Reinforcement Learning Machine Learning for Robot Control
ISSN:	0736-5845, 1879-2537
Online Access:	Get full text
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