32 citations · 36 across the 5 of their papers we have counts for
5 papers
Intelligent Navigation and Obstacle-Aware Fabrication for Mobile Additive Manufacturing Systems
Yifei Li, Ruizhe Fu, Huihang Liu +3
As the demand for mass customization increases, manufacturing systems must become more flexible and adaptable to produce personalized products efficiently. Additive manufacturing (…
Dynamic distributed decision-making for resilient resource reallocation in disrupted manufacturing systems
Mingjie Bi, Ilya Kovalenko, Dawn M. Tilbury +1
The COVID-19 pandemic brings many unexpected disruptions, such as frequently shifting markets and limited human workforce, to manufacturers. To stay competitive, flexible and real-…
Opportunities and Challenges to Integrate Artificial Intelligence into Manufacturing Systems: Thoughts from a Panel Discussion
Ilya Kovalenko, Kira Barton, James Moyne +1
Rapid advances in artificial intelligence (AI) have the potential to significantly increase the productivity, quality, and profitability in future manufacturing systems. Traditiona…
A Model Predictive Control Framework for Improving Risk-Tolerance of Manufacturing Systems
Mostafa Tavakkoli Anbarani, Efe C. Balta, Rômulo Meira-Góes +1
The need for control strategies that can address dynamic system uncertainty is becoming increasingly important. In this work, we propose a Model Predictive Control by quantifying t…
Risk-Averse Model Predictive Control for Priced Timed Automata
Mostafa Tavakkoli Anbarani, Efe C. Balta, Rômulo Meira-Góes +1
In this paper, we propose a Risk-Averse Priced Timed Automata (PTA) Model Predictive Control (MPC) framework to increase flexibility of cyber-physical systems. To improve flexibili…