Dieky Adzkiya
Papers
2
Total Citations
9
H-Index
2
About
Dieky Adzkiya is a researcher focused on the control and automation of collaborative robots, particularly the UR5 model, which is designed for safe human-robot interaction. His major contributions lie in the design and analysis of motion control systems for these robots, comparing classical and intelligent control methods. In his 2021 work, he applied Fuzzy Logic Control (FLC) to the UR5, achieving smooth and adaptive motion; this paper has garnered 5 citations. Complementing this, he also investigated Proportional Integral Derivative (PID) control for the same platform, earning 4 citations. These studies demonstrate his ability to optimize robotic joint positioning, enhancing the safety and precision of collaborative workspaces. Adzkiya’s research bridges theoretical control engineering with practical robotics, offering insights into how UR5 robots can be programmed for reliable, human-friendly operation. His work is notable for its direct application in industrial settings, where cobots are increasingly deployed. By systematically evaluating FLC and PID methods, he provides a foundation for selecting appropriate control strategies, making his contributions valuable for students and engineers advancing human-robot collaboration.
Research Focus
Key Achievements
Top Papers
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- 2