Papers

10

Total Citations

89

H-Index

5

About

Germano Lambert-Torres is a researcher whose work spans two compelling and interconnected domains: intelligent autonomous robotics and the application of artificial intelligence to industrial automation. He is perhaps best recognized for his pioneering development of the Emmy series of autonomous mobile robots — Emmy II and Emmy III — which demonstrated innovative control systems grounded in Paraconsistent Annotated Evidential Logic, a non-classical logical framework capable of handling contradictory information without invalidating conclusions. This work, spanning from 2006 through 2011, established Lambert-Torres as a significant contributor to paraconsistent logic-based robotics, with his Emmy II controller alone accumulating 16 citations. In more recent years, his research has shifted toward Robotic Process Automation (RPA) and its integration with machine learning and artificial intelligence, particularly within power distribution utilities. His 2022 systematic review on RPA and machine learning has garnered 23 citations, reflecting growing industry relevance, while his applied work on AI-extended RPA in energy management underscores the real-world impact of his research. Across his career, Lambert-Torres has consistently bridged theoretical innovation and practical application, making his contributions valuable to both academic researchers and industry professionals navigating digital transformation.

Research Focus

Key Achievements

5
H-Index
10
Papers
89
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Robotic Process Automation and Machine Learning: a Systematic Review
23 citations · 2022
📈 Most Prolific Year: 2006 (2 Papers)
🤝 Key Collaborators: 36
🏛 Institutions: Universidade Federal de Itajubá, Universidade Santa Cecília, Universidade Paulista

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago