Emmanuel Agung Nugroho
Papers
1
Total Citations
7
H-Index
1
About
Emmanuel Agung Nugroho is a robotics researcher whose work centers on intelligent control systems for industrial manipulators, with a particular focus on enhancing automation in pick-and-place operations. His most cited paper, “Handling Four DOF Robot to Move Objects Based on Color and Weight using Fuzzy Logic Control” (2023, 7 citations), demonstrates a novel integration of sensor-based object recognition and adaptive decision-making. By combining color and weight detection with fuzzy logic algorithms, Nugroho enables robotic arms to sort and handle objects with greater precision and flexibility—a critical advancement for modern manufacturing and logistics. This laboratory-scale research addresses real-world challenges in product storage and packing, where repetitive tasks demand both speed and accuracy. Nugroho’s work contributes to the broader field of intelligent robotics by showing how low-cost, rule-based control systems can be effectively deployed for complex sorting tasks. His findings offer a practical pathway toward more autonomous and efficient industrial automation, making his research valuable for engineers and students exploring the intersection of robotics, sensor fusion, and fuzzy control.
Research Focus
Key Achievements
Top Papers
- 1