Ricky Arifandi Daniel

Papers

Total Citations

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About

Ricky Arifandi Daniel is a researcher focused on autonomous robotics and computer vision, with a particular emphasis on enabling robots to perform surveillance tasks without human intervention. His most-cited work, published in 2014, addresses the critical challenge of developing systems for the detection and tracking of moving objects—a foundational capability for autonomous robotic applications. While his citation count is modest, with his top paper garnering 9 citations, this work contributes to the broader field of intelligent robotics, where real-time object tracking is essential for applications in security, industrial automation, and human-robot interaction. Daniel’s research sits at the intersection of control systems and machine perception, aiming to reduce reliance on human commands by equipping robots with autonomous decision-making abilities. His contributions are particularly relevant for students and researchers exploring low-cost, efficient surveillance systems or entry-level autonomous navigation. Though early in his career, Daniel’s focus on practical, deployable solutions highlights the growing importance of self-sufficient robotic systems in everyday environments.