Farhan Wildani
Papers
2
Total Citations
10
H-Index
2
About
Farhan Wildani is an emerging researcher specializing in mobile robotics, autonomous navigation, and intelligent control systems. His work focuses on developing practical solutions for robot navigation in dynamic, unstructured environments, with a particular emphasis on integrating fuzzy logic control with semi-autonomous systems. Wildani's most notable contributions center on the design and implementation of obstacle avoidance robots capable of adapting to unknown environments. His research demonstrates how fuzzy logic algorithms can be effectively combined with remote control interfaces and ultrasonic sensor arrays to create responsive, collision-avoidant mobile platforms. This hybrid approach — blending human oversight with machine intelligence — represents a pragmatic step toward fully autonomous robotic systems. His 2022 paper on fuzzy logic control for semi-autonomous navigation has garnered 6 citations, while his closely related 2021 work has accumulated 4 citations, reflecting growing interest in his methodology within the robotics research community. Though early in his career, Wildani's consistent focus on bridging theoretical control methods with real-world robot deployment positions him as a promising contributor to the field of intelligent mobile robotics, particularly for researchers and students exploring accessible pathways into autonomous systems development.
Research Focus
Key Achievements
Top Papers
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- 2