Papers
18
Total Citations
139
H-Index
5
About
Silvia Anton is a researcher whose work sits at the intersection of intelligent manufacturing, robotics, and cloud computing, with particular strengths in digital twin architectures, human-robot interaction, and sustainable production systems. Her most cited contribution, "Resource scheduling based on energy consumption for sustainable manufacturing" (2015, 57 citations), reflects her early focus on optimizing manufacturing processes for energy efficiency — a concern that remains deeply relevant in contemporary industrial practice. Anton has made significant strides in modernizing manufacturing intelligence through cloud-embedded digital twins and holonic control architectures, as demonstrated by her 2020 work on smart manufacturing control, which decouples decision-making from physical control layers to enable scalable, flexible factory systems. Her research also advances robot integration through machine vision platforms built on open-source tools like OpenCV, articulated object recognition via skeleton-based modeling, and multi-robot motion synchronization for cooperative tasks. A consistent thread throughout her career is human-robot collaboration, with foundational papers on natural interaction and collision avoidance dating back to 2012. With contributions spanning edge computing, secure cloud resource sharing, and visual guidance systems, Anton's body of work collectively shapes the infrastructure of next-generation smart manufacturing environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Smart Manufacturing Control with Cloud-embedded Digital Twins16 citations · 2020
- 3
- 4
- 5Open source machine vision platform for manufacturing and robotics7 citations · 2021
- 6
- 7Decentralizing Cloud Robot Services Through Edge Computing5 citations · 2018
- 8Recognizing and handling articulated objects in robotic tasks4 citations · 2017
- 9
- 10Synchronizing Robot Motions in Cooperative Tasks3 citations · 2011