Afandi Ahmad
Papers
2
Total Citations
11
H-Index
2
About
Afandi Ahmad is a researcher whose work sits at the intersection of robotics, control systems, and human-robot interaction (HRI). His primary research areas include active compliance control, fuzzy logic systems, and the mechanical design of anthropomorphic robotic hands. Ahmad’s most cited paper, "A new approach of active compliance control via fuzzy logic control for multifingered robot hand" (2016, 9 citations), addresses a critical challenge in HRI: ensuring safety through compliant control. By introducing a fuzzy logic-based active compliance control method, he advanced the use of model reference impedance control to make robotic interactions safer and more adaptive. This work has practical implications for collaborative robots that must operate near humans. Additionally, his preliminary work on the "Anthropomorphic Red Hand" (2015, 2 citations) lays foundational design concepts for dexterous, human-like robotic hands. While his citation counts are modest, Ahmad’s contributions are notable for their focus on bridging theoretical control strategies with real-world robotic applications, particularly in safety-critical HRI scenarios. His research offers valuable insights for students and engineers developing next-generation, human-friendly robotic systems.
Research Focus
Key Achievements
Top Papers
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- 2