Papers
15
Total Citations
105
H-Index
5
About
Ronny Mardiyanto is an Indonesian researcher whose work spans robotics, autonomous systems, human-machine interaction, and underwater technology. His research consistently focuses on developing practical, accessible solutions for complex engineering challenges, with a particular emphasis on sensor integration and intelligent control systems. Mardiyanto's most influential contribution is his 2017 work on hand gesture recognition using accelerometers and gyroscopes for controlling underwater remotely operated vehicles — a system praised for requiring no user training — which has garnered 30 citations. His broader underwater research extends to color-based object detection systems designed to overcome human perceptual limitations in aquatic environments (13 citations). He has also made notable contributions to motor control, with his comparative analysis of Cuk, SEPIC, and Zeta converters for BLDC motor applications earning equal recognition (13 citations). Beyond these core areas, Mardiyanto has advanced robot navigation through Kinect-based 2D mapping, Indonesian-language voice command interfaces for robotics, swarm drone control using ROS frameworks, and real-time 3D environmental modeling using RGB-D cameras. His work on assistive social robotics further demonstrates his commitment to human-centered technology. Collectively, his research reflects a sustained effort to bridge intelligent sensing, autonomous mobility, and intuitive human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1
- 2Development of Underwater Object Detection Method Base on Color Feature13 citations · 2018
- 3
- 42D map creator for robot navigation by utilizing Kinect and rotary encoder11 citations · 2015
- 5Robot Operating System (ROS) Framework for Swarm Drone Flight Controller6 citations · 2022
- 6
- 7Indonesian natural voice command for robotic applications5 citations · 2015
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- 10