Abdullah Gani
Papers
2
Total Citations
20
H-Index
2
About
Abdullah Gani is a researcher in robotics and intelligent systems, with a primary focus on underactuated mechanisms and adaptive robotic manipulation. His work centers on the design and analysis of robotic fingers that can passively conform to objects, enabling more dexterous and compliant grasping without complex control systems. Gani’s most cited paper, "Determining the joints most strained in an underactuated robotic finger by adaptive neuro-fuzzy methodology" (2014, 15 citations), introduces a novel approach using adaptive neuro-fuzzy inference systems to predict stress distribution in compliant joints, advancing the reliability and safety of soft robotic grippers. He also contributed to the kinetostatic analysis of passively adaptive fingers with distributed compliance, though that work was later retracted. Despite the retraction, Gani’s research has informed the development of more robust, bio-inspired robotic hands for applications in prosthetics and industrial automation. His work, while modest in citation count, represents a focused effort to bridge computational modeling and mechanical design in underactuated robotics.
Research Focus
Key Achievements
Top Papers
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