Muhammad Ismail Opera
Papers
1
Total Citations
15
H-Index
1
About
Muhammad Ismail Opera is a researcher in robotics and biomedical engineering, with a focus on assistive technologies and human-robot interaction. His most-cited work, "Combination of Flex Sensor and Electromyography for Hybrid Control Robot" (2018, 15 citations), introduces an innovative hybrid control system that integrates flex sensors and electromyography (EMG) signals to enable intuitive, alternative control of a robotic arm. This system is designed to assist individuals with special needs, allowing a robot arm to mimic the movements of a human left arm while being controlled by the user's own muscle signals and joint flexions. Opera's research addresses critical challenges in accessibility and rehabilitation, offering a low-cost, adaptable solution for prosthetic and assistive robotics. His work on sensor placement and signal fusion has contributed to more natural and responsive control interfaces, bridging the gap between human physiology and robotic systems. With a growing citation impact, Opera's contributions are paving the way for more inclusive technologies that empower users with physical limitations.
Research Focus
Key Achievements
Top Papers
- 1Combination of Flex Sensor and Electromyography for Hybrid Control Robot15 citations · 2018