Yurid Nugraha

Sepuluh Nopember Institute of Technology

Papers

Total Citations

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About

Yurid Nugraha is a robotics researcher whose work focuses on advancing safe and intelligent navigation for mobile robots in dynamic indoor environments. His primary research areas include obstacle avoidance, path planning, human-robot interaction, and 3D perception. Nugraha’s most notable contribution is the **Safe Dynamic Window Approach (SDWA)** , an extension of the classical Dynamic Window Approach that introduces a Threat Level Index to prioritize safety and comfort during human-robot interaction. This method, detailed in his 2024 paper, accounts for both static and dynamic obstacles, enhancing the reliability of autonomous navigation in crowded spaces. In his 2025 work, Nugraha further advances indoor locomotion by integrating RTAB-Map with Voxel Grid Filters and Joint Probabilistic Data Association (JPDA) for efficient 3D mapping, combined with a local path planner using modified artificial potential fields. Though early in his career, with papers accumulating 2 and 1 citations respectively, these foundational studies demonstrate a clear trajectory toward robust, perception-driven robotics. Nugraha’s research is particularly relevant for students and engineers developing autonomous systems that must operate safely alongside humans.