Papers

1

Total Citations

3

H-Index

1

About

Murillo Santos is a researcher at the forefront of intelligent manufacturing and industrial automation, with a focused expertise in the integration of artificial vision systems for Industry 4.0 applications. His most notable contribution, the 2022 paper "Robot at Factory 4.0: An Auto-Referee Proposal Based on Artificial Vision," introduces an innovative framework for real-time, vision-based quality control and process monitoring in smart factories. This work proposes a self-regulating robotic system that leverages computer vision to autonomously inspect and verify production tasks, reducing human error and enhancing operational efficiency. While still early in its citation impact, with 3 citations to date, the paper represents a foundational step toward fully autonomous manufacturing environments. Santos’ research bridges the gap between theoretical robotics and practical factory-floor implementation, addressing critical challenges in adaptive automation. His work is particularly relevant for researchers and engineers developing next-generation cyber-physical systems, offering a scalable model for integrating visual feedback into robotic decision-making. As the push for smart factories accelerates, Santos’ contributions position him as an emerging voice in the evolution of industrial AI.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Robot at Factory 4.0: An Auto-Referee Proposal Based on Artificial Vision
3 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Federal Center for Technological Education Celso Suckow da Fonseca

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago