Papers

14

Total Citations

200

H-Index

7

About

O. Felix Offodile is a pioneering researcher whose work has shaped the fields of robotics, manufacturing systems, and industrial automation. His research primarily focuses on robot performance evaluation, selection methodologies, and the integration of advanced technologies like virtual reality into Industry 4.0 manufacturing. Offodile's major contributions include developing statistical-economic models to assess robot repeatability and accuracy, demonstrating how speed and payload affect performance and profitability. His seminal paper on robot repeatability (1991) has garnered 55 citations, while his comprehensive literature review on the robot selection problem (1994) remains a foundational resource with 41 citations. Notably, his recent work on virtual reality simulation in Industry 4.0 (2024) has already attracted 30 citations, reflecting his continued relevance in modern manufacturing research. Offodile also explored machine grouping in cellular manufacturing and knowledge-based systems for flexible assembly robots. His work has provided engineers and decision-makers with robust frameworks for evaluating and selecting industrial robots, bridging the gap between technical performance metrics and economic outcomes. Through his enduring influence, Offodile has helped define best practices in robot selection and performance optimization, making him a key figure in the evolution of smart manufacturing.

Research Focus

Key Achievements

7
H-Index
14
Papers
200
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Evaluating the effect of speed and payload on robot repeatability
55 citations · 1991
📈 Most Prolific Year: 1993 (4 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Kent State University, University of Arkansas at Fayetteville

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago