Mireille Batton‐Hubert
Papers
1
Total Citations
2
H-Index
1
About
Dr. Mireille Batton-Hubert is a leading researcher at the intersection of digital twin technology and artificial intelligence for Industry 4.0. Her work focuses on developing intelligent control systems that integrate real-time data, simulation, and AI to optimize robotic operations in smart manufacturing environments. She is best known for her pioneering paper "RoboTwin: Combining Digital Twin and Artificial Intelligence Domains for Controlling Robots in Industry 4.0" (2023), which proposes a novel framework that merges digital twin models with machine learning to enable adaptive, autonomous robot control. This contribution has already garnered attention in the emerging field of cyber-physical production systems, with 2 citations reflecting its early impact. Dr. Batton-Hubert's research addresses critical challenges in industrial automation, including real-time decision-making, predictive maintenance, and human-robot collaboration. Her work is instrumental in advancing the practical deployment of digital twins for flexible, resilient manufacturing. She continues to shape the future of smart factories by bridging theoretical AI advances with tangible industrial applications.
Research Focus
Key Achievements
Top Papers
- 1