Selamat Muslimin
Papers
4
Total Citations
46
H-Index
3
About
Selamat Muslimin’s research lies at the intersection of agricultural robotics, visual servoing, and legged locomotion, with a strong commitment to advancing autonomous systems for real-world applications. His most influential work, “Visual Servoing Design and Control for Agriculture Robot; a Review” (35 citations), provides a comprehensive analysis of how camera-based visual feedback transforms traditional blind manipulators into intelligent, target-aware robots—a critical step toward precision agriculture. In parallel, his study on “Inverse Kinematics Analysis for Motion Prediction of a Hexapod Robot” (6 citations) tackles the challenge of stable, agile locomotion in unstructured environments, offering mathematical frameworks that enhance the mobility of six-legged robots. Beyond theoretical contributions, Muslimin actively bridges research and community impact. He led an iPad-based trash robot control workshop at SMPIT Harapan Mulia Palembang (3 citations), introducing young students to accessible robotics education, and developed a flex-sensor-driven robotic arm that mimics human motion (2 citations), demonstrating low-cost, intuitive human-robot interaction. With a career spanning foundational reviews, kinematic modeling, and educational outreach, Muslimin’s work exemplifies how robotics can be both technically rigorous and socially transformative.
Research Focus
Key Achievements
Top Papers
- 1Visual Servoing Design and Control for Agriculture Robot; a Review35 citations · 2018
- 2Inverse Kinematics Analysis for Motion Prediction of a Hexapod Robot6 citations · 2018
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