Yul Yunazwin Nazaruddin
Papers
10
Total Citations
159
H-Index
4
About
Yul Yunazwin Nazaruddin is a leading researcher in robotics and control systems, with a primary focus on bio-inspired locomotion, multi-robot coordination, and autonomous navigation. His most influential work, "Design and Implementation of Paired Pectoral Fins Locomotion of Labriform Fish Applied to a Fish Robot" (2009, 107 citations), pioneered the application of biological swimming mechanisms to robotic platforms, achieving optimal thrust through hydrodynamic body design. Nazaruddin has made significant contributions to multi-robot systems, including leader-follower formation control and polygon formation with collision avoidance schemes, enabling teams of nonholonomic mobile robots to operate safely and efficiently. His work on using echo ultrasound from schooling fish for detection and classification (2009) demonstrates cross-disciplinary innovation. More recently, he has advanced state estimation for field robots using GNSS and encoders (2024) and developed virtual firefighting robots using Braitenberg and fuzzy logic methods (2019). His research on soft pneumatic actuators for physiotherapy (2021) and modeling of PRP-gantry crane systems (2025) highlights his versatility in addressing real-world challenges. With over 150 citations across his publications, Nazaruddin's work continues to shape the fields of robotics, control theory, and autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 5Using Multi-Quadrotor System for Effective Road Mapping4 citations · 2019
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- 9Body Construction of Fish Robot in order to Gain Optimal Thrust Speed2 citations · 2007
- 10Modeling and Control of PRP-Gantry Crane Systems via Neural IDA-PBC1 citations · 2025