Eka Dodi Suryanto

Papers

Total Citations

H-Index

About

Eka Dodi Suryanto is a researcher specializing in robotics, automation, and computer vision, with a focus on developing practical, human-interactive systems. His work bridges mechanical design and intelligent control, aiming to create autonomous devices that assist in everyday tasks. His most cited paper, "Design of automatic mobile trolley using ultrasonic sensors" (2018, 6 citations), introduces a prototype wheeled robot that functions as a self-navigating shopping cart, using ultrasonic sensors to follow a user automatically—eliminating the need for pushing or pulling. This innovation highlights his interest in human-robot interaction and service robotics. In a subsequent study, "Automated pneumatic vacuum suction robotic arm with computer vision" (2020, 3 citations), Suryanto advanced the field by integrating a 4-degree-of-freedom robotic arm with a camera and computer vision algorithms to extract object coordinates, enabling precise pick-and-place operations. Though his citation counts are modest, his work represents foundational contributions to accessible, low-cost automation solutions. Suryanto’s research is particularly valuable for students and engineers exploring the intersection of embedded systems, sensor integration, and practical robotics, offering a clear pathway from prototyping to real-world application.