Hendika Putra Madani
Papers
1
Total Citations
2
H-Index
1
About
Hendika Putra Madani is a researcher specializing in autonomous robotics and deep learning applications for maritime systems. His primary research focuses on developing intelligent navigation and obstacle avoidance technologies for unmanned surface vehicles, particularly ship robots. Madani’s most notable contribution is his work on the PENSHIP ship robot, where he proposed an autonomous obstacle avoidance system that leverages deep learning for real-time object detection. In his key study, "Implementation of Deep Learning on Obstacle Avoidance System PENSHIP Ship Robot" (2022), he demonstrated a novel approach using neural networks to detect spherical objects—simulating trajectory obstacles—without reliance on manual remote control or additional sensors like ultrasonic devices. This work, which has garnered 2 citations, represents a foundational step toward fully autonomous maritime navigation. Madani’s research addresses critical challenges in marine robotics, including sensor-independent perception and adaptive path planning. His achievements highlight the potential of deep learning to enhance the safety and efficiency of unmanned ships, positioning him as an emerging contributor to the field of intelligent transportation systems and autonomous vehicle technology.
Research Focus
Key Achievements
Top Papers
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