Faizal Jamil

Tun Hussein Onn University of Malaysia

Papers

2

Total Citations

40

H-Index

2

About

Faizal Jamil is a robotics researcher whose work centers on the design, control, and analysis of adaptive robotic grippers—a key area in the advancement of dexterous manipulation and human-robot interaction. His most significant contributions focus on the 3-Finger Adaptive Robot Gripper, a flexible and versatile robotic hand designed to mimic human grasping capabilities. Jamil’s research addresses a critical challenge in robotics: ensuring safe and effective object handling without causing damage. He has developed methods to analyze grasping performance using motor encoder data, current, and force feedback, and has pioneered the application of PID controllers for direct force control, enabling active compliance in robotic hands. These contributions have garnered attention in the field, with his most cited paper, “Grasping analysis for a 3-Finger Adaptive Robot Gripper” (2016), accumulating 28 citations, and his force control study (2016) earning 12 citations. Jamil’s work is foundational for researchers and students interested in robotic manipulation, offering practical insights into sensor integration and control strategies that bridge the gap between rigid automation and adaptive, human-like handling.

Research Focus

Key Achievements

2
H-Index
2
Papers
40
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
Grasping analysis for a 3-Finger Adaptive Robot Gripper
28 citations · 2016
📈 Most Prolific Year: 2016 (2 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Tun Hussein Onn University of Malaysia

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago