Muladi Muladi

Papers

Total Citations

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About

Muladi Muladi is a prominent researcher in autonomous systems and computer vision, with a focus on intelligent navigation and object detection technologies. His work centers on developing robust algorithms for robotic platforms and visual recognition systems. Notably, his research on the "HSV Based Robot Boat Navigation System" (2020, 24 citations) introduces an innovative approach to autonomous maritime navigation, leveraging HSV color space for real-time obstacle avoidance and path planning—a critical contribution to unmanned surface vehicles. This work demonstrates how intelligent systems can operate without explicit human control, advancing the field of autonomous robotics. Additionally, his study "An Improvement on QR Code Limit Angle Detection using Convolution Neural Network" (2019, 12 citations) enhances QR code readability under challenging angles, improving reliability for applications in logistics, manufacturing, and healthcare. By integrating deep learning with traditional detection methods, Muladi has addressed practical limitations in visual data capture. His contributions bridge theoretical computer vision with real-world deployment, earning recognition for their impact on autonomous navigation and industrial automation. With a growing citation footprint, Muladi continues to influence both academic research and applied engineering in intelligent systems.