Abdul Muis

University of Indonesia, Keio University

Papers

13

Total Citations

154

H-Index

7

About

Abdul Muis is an accomplished robotics researcher whose work spans visual servoing, autonomous systems, swarm intelligence, and humanoid robotics. His most influential contribution, "Eye-to-Hand Approach on Eye-in-Hand Configuration Within Real-Time Visual Servoing" (2005), has garnered 67 citations and introduced a landmark framework that reconciles the precision-mobility trade-off between eye-in-hand and eye-to-hand camera configurations, significantly advancing robot vision-guided manipulation. This foundational work, built upon a companion 2004 paper, established him as a key voice in visual servoing research. Beyond vision-based control, Muis has made notable strides in bio-inspired optimization, developing a Modified Particle Swarm Optimization algorithm for localizing multiple odor sources in dynamic environments — a challenging real-world problem with applications in search and rescue. His research extends further into disaster robotics, exploring autonomous telecommunication network expansion using mobile robot formations, and into humanoid systems, where he demonstrated real-time human motion imitation using Microsoft Kinect. More recently, his work on ant colony optimization for serial manipulator control reflects a continued commitment to intelligent, nature-inspired approaches in industrial robotics. Collectively, his research portfolio reveals a scientist dedicated to bridging autonomous perception, intelligent control, and human-robot interaction.

Research Focus

Key Achievements

7
H-Index
13
Papers
154
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Eye-to-Hand Approach on Eye-in-Hand Configuration Within Real-Time Visual Servoing
67 citations · 2005
📈 Most Prolific Year: 2004 (2 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: University of Indonesia, Keio University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago