Muhammad Akmal Bin Mohammed Zaffir
Nara Institute of Science and Technology, University of Miyazaki
Papers
5
Total Citations
24
H-Index
4
About
Muhammad Akmal Bin Mohammed Zaffir is a robotics researcher specializing in human-robot interaction, with a focus on tactile feedback systems for collaborative tasks. His work centers on developing intuitive communication channels between humans and robots, particularly through vibrotactile interfaces that enhance object handover operations. His most cited paper (2024, 10 citations) presents a novel approach to conveying robot-intended handover positions using vibrotactile feedback, addressing the challenge of visual attention demands during assembly tasks. Zaffir has made significant contributions to the design of wearable vibrotactile devices for forearm communication, systematically investigating how signal parameters influence human perceptual and behavioral responses. His research extends to gait rehabilitation, where he has compared deep neural network models for estimating dorsiflexion using EMG signals in robotic ankle-foot orthoses. His work on multi-step vibrotactile stimuli for presenting human-robot relative hand positions (2023, 4 citations) and combination devices integrating vibration and tightening mechanisms (2025) demonstrates his commitment to practical, real-world applications. With a growing citation record, Zaffir is establishing himself as a key contributor to the advancement of intuitive, non-visual communication channels in collaborative robotics.
Research Focus
Key Achievements
Top Papers
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