Manas Sangworasil
Rangsit University, King Mongkut's Institute of Technology Ladkrabang
Papers
7
Total Citations
71
H-Index
4
About
Manas Sangworasil is a robotics and control systems researcher whose work bridges intelligent control, biomedical signal processing, and computer vision. His primary research areas include fuzzy logic control, robotic manipulation, electromyography (EMG)-based prosthetics, and automated object detection. Sangworasil’s most cited work, “Optimizing Membership Function Tuning for Fuzzy Control of Robotic Manipulators Using PID-Driven Data Techniques” (26 citations), introduces a novel data-driven method to refine fuzzy membership functions, reducing reliance on expert intuition. He has also made significant contributions to assistive robotics, including a system for controlling robotic arms via wireless glove sensors (14 citations) and an accurate EMG classification algorithm for virtual hand prostheses using two-channel electrodes (8 citations). His recent comparative study of Takagi-Sugeno-Kang and Mamdani algorithms for self-balancing wheelchairs (4 citations) demonstrates his ongoing interest in accessible mobility solutions. Sangworasil’s work on ResNet18-based image segmentation for robotic vision (13 citations) further showcases his versatility in applying deep learning to industrial automation. With a career spanning foundational hardware design to advanced fuzzy control optimization, his research has accumulated over 70 citations, reflecting a sustained impact on both theoretical control methods and practical robotic applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2Design and construction of system to control the movement of the robot arm14 citations · 2015
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- 7The application of PID control to robotic head2 citations · 2017