Muhammad Azmi Ayub

Universiti Teknologi MARA

Papers

9

Total Citations

109

H-Index

4

About

Dr. Muhammad Azmi Ayub is a pioneering roboticist whose work bridges human-machine interaction and surgical precision. His research spans three critical domains: assistive robotics for medical rehabilitation, intelligent tactile sensing for robotic manipulation, and autonomous systems for industrial applications. Dr. Ayub’s most impactful contribution is the development of a user-friendly LabVIEW interface for controlling prosthetic hands via Emotiv EEG headsets (33 citations), demonstrating how brain-computer interfaces can restore functionality for amputees. He also advanced orthopedic surgery safety with a real-time algorithm that detects breakthrough during bone drilling (30 citations), preventing tissue damage by automatically halting the drill. His work on optical tactile sensors for robot fingers (16 citations) and object stiffness control parameters (12 citations) has been foundational for creating robots that can sense and adapt to their environment. More recently, Dr. Ayub has explored humanoid robotics with object and color tracking capabilities, and applied deep learning to improve object detection speed and accuracy. His diverse portfolio—from aquaculture automation to force measurement in drilling—reflects a commitment to solving real-world problems through robotics. With over 100 cumulative citations, Dr. Ayub continues to shape the future of intelligent, human-centered robotic systems.

Research Focus

Key Achievements

4
H-Index
9
Papers
109
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
User-Friendly LabVIEW GUI for Prosthetic Hand Control Using Emotiv EEG Headset
33 citations · 2017
📈 Most Prolific Year: 2012 (2 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: Universiti Teknologi MARA

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago