Virtual reconfiguration method of robotic mixed-model assembly line using bees algorithm based on digital twin
W Xu, Z Li, J Liu, J Cui, Y Hu - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
As an important part of intelligent manufacturing, robotic mixed-model assembly line needs
to cost-effectively adjust its configuration to meet the dynamical manufacturing requirements …
to cost-effectively adjust its configuration to meet the dynamical manufacturing requirements …
Predictive Inspection and Maintenance Optimization for Partially Observable Semi-Markov Deteriorating Systems
C Guo, Z Liang - IEEE Transactions on Automation Science …, 2025 - ieeexplore.ieee.org
Inspection and maintenance strategies are crucial for ensuring system serviceability. Due to
stochastic deterioration and limited observability, sequential decision-making often relies on …
stochastic deterioration and limited observability, sequential decision-making often relies on …
A Systematic Review on Reinforcement Learning for Industrial Combinatorial Optimization Problems
This paper presents a systematic review on reinforcement learning approaches for
combinatorial optimization problems based on real-world industrial applications. While this …
combinatorial optimization problems based on real-world industrial applications. While this …
Towards Cognitive Digital Twin System of Human-Robot Collaboration Manipulation
Multielement decision-making is crucial for the robust deployment of human-robot
collaboration (HRC) systems in flexible manufacturing environments with personalized tasks …
collaboration (HRC) systems in flexible manufacturing environments with personalized tasks …