Md Musfiq Us Saleheen

North South University

Papers

1

Total Citations

11

H-Index

1

About

Md Musfiq Us Saleheen is an emerging researcher whose work sits at the intersection of human-computer interaction and intelligent automation, with a particular focus on gesture-controlled robotic systems. His most-cited paper, "Gesture-Controlled Robotic Arm" (2023), has already garnered 11 citations, reflecting the growing interest in intuitive, non-contact methods for operating industrial machinery. Saleheen’s primary contribution lies in advancing the practicality of robotic arms—traditionally automated, tireless devices—by enabling them to respond directly to human gestures, thereby bridging the gap between operator intent and machine action. This work addresses a critical need in industries demanding both speed and reliability, where traditional interfaces can be cumbersome. By demonstrating that gesture control can be both responsive and robust, Saleheen has helped pave the way for more natural human-robot collaboration. His research is particularly notable for its potential to reduce operator fatigue and enhance safety in manufacturing settings. As an early-career researcher, Saleheen is establishing himself as a key voice in making automation more accessible and human-centric, with his work likely to influence future developments in assistive robotics and smart manufacturing.

Research Focus

Key Achievements

1
H-Index
1
Papers
11
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Gesture-Controlled Robotic Arm
11 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: North South University

Top Papers

  1. 1
    Gesture-Controlled Robotic Arm
    11 citations · 2023

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago