Totok Prasetyo
Papers
1
Total Citations
27
H-Index
1
About
Totok Prasetyo is a leading researcher in advanced manufacturing and intelligent monitoring systems, with a particular focus on the integration of machine learning into industrial processes. His work centers on condition monitoring and predictive maintenance, especially in robotic arm grinding operations. Prasetyo’s most notable contribution is the development of machine learning models to predict abrasive belt wear, a critical challenge in automated grinding that directly affects product quality and process efficiency. His highly cited 2024 paper, "Use of machine learning models in condition monitoring of abrasive belt in robotic arm grinding process," has garnered 27 citations and demonstrates how data-driven approaches can anticipate coarse grain deterioration, reducing downtime and improving surface integrity. This research bridges the gap between traditional tribology and modern AI, offering practical solutions for smart manufacturing. Prasetyo’s work is recognized for its direct industrial applicability, and he continues to advance the field by exploring sensor fusion and real-time analytics for robotic systems. His contributions are essential reading for engineers and researchers seeking to enhance automation reliability through predictive modeling.
Research Focus
Key Achievements
Top Papers
- 1