Rafiuddin Syam
Papers
15
Total Citations
95
H-Index
6
About
Rafiuddin Syam is a robotics and control systems researcher whose work spans intelligent control algorithms, mobile robotics, and aerial vehicles. He is best known for his sustained contributions to adaptive actor-critic learning methods applied to mobile robot control, developing frameworks that leverage predictive models and simulated experiences to enable more efficient, real-time learning in nonholonomic systems. His foundational papers from the early 2000s, including work on value-function approximation using static nonlinear mappings, laid important groundwork in reinforcement learning-based robot control, collectively accumulating over 45 citations across his core publications. Syam extended these contributions into neuro-interface systems with fuzzy compensation and multi-step simulated experience algorithms, broadening the practical applicability of his learning architectures. His research also encompasses underactuated aerial robotics, notably applying discontinuous control and backstepping methods to quadrotor VTOL systems, as well as fuzzy logic control for pneumatic excavators and quadcopters. More recently, his work on flexible single-link manipulator dynamics addresses emerging demands in space robotics and precision manufacturing. Syam's diverse portfolio reflects a consistent drive to bridge theoretical control design with practical robotic implementation across multiple platforms and domains.
Research Focus
Key Achievements
Top Papers
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- 8Fuzzy Logic Control for Pneumatic Excavator Model4 citations · 2015
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- 10Dynamics and Fuzzy Logic Method for Controlling Quadcopter3 citations · 2016