activity
20242026
collaborators

10 papers

cs.LG2026

A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing

Yi-Ping Chen, Ying-Kuan Tsai, Vispi Karkaria +3

Digital Twins rely on surrogate models to mirror physical systems in real time, yet these models can degrade as operating conditions evolve, a phenomenon known as concept drift. Ma…

cs.AI2026

2026 Roadmap on Artificial Intelligence and Machine Learning for Smart Manufacturing

Jay Lee, Hanqi Su, Marco Macchi +50

The evolution of artificial intelligence (AI) and machine learning (ML) is reshaping smart manufacturing by providing new capabilities for efficiency, adaptability, and autonomy ac…

cs.RO2025

Digital Twin-based Control Co-Design of Full Vehicle Active Suspensions via Deep Reinforcement Learning

Ying-Kuan Tsai, Yi-Ping Chen, Vispi Karkaria +1

Active suspension systems are critical for enhancing vehicle comfort, safety, and stability, yet their performance is often limited by fixed hardware designs and control strategies…

eess.SY2025

Adaptive Digital Twin of Sheet Metal Forming via Proper Orthogonal Decomposition-Based Koopman Operator with Model Predictive Control

Yi-Ping Chen, Derick Suarez, Ying-Kuan Tsai +6

Digital Twin (DT) technologies are transforming manufacturing by enabling real-time prediction, monitoring, and control of complex processes. Yet, applying DT to deformation-based…

stat.ML2025

ARCO-BO: Adaptive Resource-aware COllaborative Bayesian Optimization for Heterogeneous Multi-Agent Design

Zihan Wang, Yi-Ping Chen, Tuba Dolar +1

Modern scientific and engineering design increasingly involves distributed optimization, where agents such as laboratories, simulations, or industrial partners pursue related goals…

cs.LG2025

Digital Twin-enabled Multi-generation Control Co-Design with Deep Reinforcement Learning

Ying-Kuan Tsai, Vispi Karkaria, Yi-Ping Chen +1

Control Co-Design (CCD) integrates physical and control system design to improve the performance of dynamic and autonomous systems. Despite advances in uncertainty-aware CCD method…