Papers

1

Total Citations

4

H-Index

1

About

Guddie Renz Besin is a rising researcher in industrial automation and educational robotics, whose work focuses on developing cost-effective training systems for engineering and technical education. His most cited paper, "PLC-Based Electro-Pneumatic Cylindrical Robot with Color Object Detection and Vacuum End Effector for Material Handling Trainer" (2023, 4 citations), addresses the prohibitive cost of industrial robots for academic institutions. Besin’s major contribution lies in designing an affordable, locally-sourced automated system that integrates programmable logic controllers (PLCs), electro-pneumatics, color sensing, and vacuum end effectors to simulate real-world material handling tasks. This innovation provides students with hands-on, accurate industrial training without the financial burden of commercial robots. By bridging the gap between theoretical learning and practical application, Besin’s work enhances the accessibility of automation education, particularly in resource-constrained settings. His research demonstrates a commitment to democratizing technology and improving engineering pedagogy, making him a notable figure in the field of low-cost automation and educational robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
PLC-Based Electro-Pneumatic Cylindrical Robot with Color Object Detection and Vacuum End Effector for Material Handling Trainer
4 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Mindanao State University – Iligan Institute of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago