Fahmizal Fahmizal
National Taiwan University of Science and Technology, Universitas Gadjah Mada
Papers
20
Total Citations
174
H-Index
8
About
Fahmizal Fahmizal is an Indonesian robotics researcher whose work sits at the intersection of mobile robotics, intelligent control systems, and autonomous navigation. With a career spanning over a decade, he has made significant contributions to the development of fuzzy logic controllers, trajectory tracking systems, and robot locomotion across a diverse range of robotic platforms. His most influential work focuses on wheeled mobile robots, including Mecanum-wheeled, omni-directional, and differential-drive systems. His 2016 paper on trajectory and heading tracking of a Mecanum wheeled robot using fuzzy logic control has garnered 34 citations, while his 2013 work on fuzzy logic wall-following navigation has accumulated 30 citations — together establishing him as a recognized authority in intelligent mobile robot control. Beyond wheeled systems, Fahmizal has explored bipedal robot stability using center-of-pressure feedback, two-wheeled inverted pendulum dynamics with LQR control, and behavior-based robotic algorithms for autonomous maze exploration. His research reflects a strong emphasis on practical implementation, frequently integrating real-world sensors such as IMUs, encoders, and force-sensitive resistors. With contributions also touching Industry 4.0 robotic arms and simulation-based methodologies, Fahmizal's cumulative body of work — exceeding 145 citations — positions him as a productive and versatile figure in applied robotics research.
Research Focus
Key Achievements
Top Papers
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- 3Trajectory Tracking pada Robot Omni dengan Metode Odometry16 citations · 2019
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- 8Identifikasi Pemodelan Matematis Robot Wall Following9 citations · 2018
- 9
- 10Kendali Logika Fuzzy pada Car Like Mobile Robot (CLMR) Penjejak Garis6 citations · 2018