Muhammad Farouk Setiawan
Papers
2
Total Citations
4
H-Index
2
About
Muhammad Farouk Setiawan is a robotics researcher focused on advancing human–robot collaboration and autonomous manipulation in industrial settings. His work centers on developing simplified, practical solutions for object grasping in material handling processes, aiming to make robotic systems more intuitive and efficient for real-world manufacturing environments. In his 2024 study on autonomous object grasping for human–robot collaboration, he proposed streamlined methods that reduce computational complexity while maintaining reliable performance. Setiawan has also contributed to trajectory planning research, comparing 3rd and 5th order polynomial approaches for 4 DOF arm robots using inverse kinematics. His 2022 paper demonstrated how different polynomial orders affect movement smoothness and accuracy in microcontroller-based robotic arms. With over 4 citations across his published works, Setiawan’s research addresses the growing need for accessible automation technologies that can be integrated into small-to-medium scale manufacturing. His work bridges theoretical robotics with practical implementation, offering insights for engineers and researchers developing collaborative robotic systems for material handling and assembly tasks.
Research Focus
Key Achievements
Top Papers
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