Muhamad Faizal Abdul Jamil
Papers
2
Total Citations
11
H-Index
2
About
Muhamad Faizal Abdul Jamil is a robotics researcher focused on enhancing safety and dexterity in human-robot interaction (HRI). His work centers on two key areas: active compliance control for robotic hands and the mechanical design of anthropomorphic grippers. His most cited paper, "A new approach of active compliance control via fuzzy logic control for multifingered robot hand" (2016, 9 citations), introduces a novel fuzzy logic-based impedance control strategy to ensure safe, compliant behavior during HRI. This approach allows multifingered hands to adapt their stiffness in real-time, reducing collision risks without sacrificing precision—a critical contribution for collaborative robotics. Jamil also laid foundational groundwork in "An Overview of Anthropomorphic Robot Hand and Mechanical Design of the Anthropomorphic Red Hand – A Preliminary Work" (2015, 2 citations), detailing the design principles for a human-like hand aimed at versatile grasping. While his citation counts reflect an emerging career, his integration of fuzzy logic with impedance control offers a practical path toward safer, more intuitive robot assistants. Jamil’s work is particularly relevant for researchers developing service robots or prosthetics where human-like compliance and safety are paramount.
Research Focus
Key Achievements
Top Papers
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