Irham Arfakhsadz Putra

About

Irham Arfakhsadz Putra is a researcher specializing in robotics and autonomous navigation, with a particular focus on Simultaneous Localization and Mapping (SLAM) algorithms. His most cited work, "Parameter Tuning of G-mapping SLAM on Mobile Robot with Laser-Range Finder 360° Sensor" (2019), addresses a critical challenge in mobile robotics: optimizing the G-mapping algorithm for reliable performance with 360-degree laser sensors. By systematically tuning key parameters, Putra demonstrated how to enhance mapping accuracy and localization stability in real-world environments, a contribution that has garnered 4 citations and laid groundwork for subsequent studies in autonomous navigation. His research bridges the gap between theoretical SLAM models and practical implementation, offering valuable insights for developers working on indoor mapping and robot autonomy. Putra’s work is particularly relevant for students and engineers seeking to deploy cost-effective laser-based navigation systems, as it provides a clear methodology for parameter optimization that can be adapted to various robotic platforms.

Research Focus

Key Achievements

Top Papers

1. 1
   Parameter Tuning of G-mapping SLAM (Simultaneous Localization and Mapping) on Mobile Robot with Laser-Range Finder 360° Sensor

   4 citations · 2019

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