Muhammad Ramadhan Hadi Setyawan
Universitas Negeri Surabaya, Tokyo Metropolitan University, Politeknik Elektronika Negeri Surabaya
Papers
3
Total Citations
10
H-Index
2
About
Muhammad Ramadhan Hadi Setyawan is a robotics researcher whose work bridges the gap between precise robotic manipulation and socially aware human-robot interaction. His primary research areas include inverse kinematics for humanoid robots, particularly for grasping tasks, and human-robot proxemics—understanding how robots can navigate social spaces comfortably. His most influential work, “Improved Damped Least Squares Inverse Kinematics with Joint limits for 7-DOF ‘T-FLoW’ Humanoid Robot Manipulator” (5 citations), addresses a fundamental challenge: enabling a humanoid arm to accurately compute end-effector positions while respecting joint constraints, a critical step for reliable object grasping. He extended this approach in his 2022 paper on kinematics modeling for visual grasping (2 citations). More recently, Setyawan has pioneered a novel framework for social robotics with his 2025 paper introducing the Human–Robot Proxemic Index (HRPI) (3 citations). This quantitative model estimates user comfort based on three contextual dimensions—behavior, interaction, and object—drawing from human communication theory. By integrating precise kinematic solutions with socially adaptive proxemic modeling, Setyawan’s work contributes to building robots that are both physically capable and socially intelligent, a vital combination for future collaborative environments.
Research Focus
Key Achievements
Top Papers
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