Astria Nur Irfansyah

Papers

1

Total Citations

4

H-Index

1

About

Astria Nur Irfansyah is a researcher whose work centers on autonomous mobile robotics and intelligent control systems, with a particular focus on enhancing robot autonomy and operational continuity. Their most cited paper, "Sistem Autodocking Mobile Robot Berbasis Suara Untuk Pengisian Ulang Baterai" (2019, 4 citations), addresses a critical challenge in robotics: enabling robots to self-navigate and recharge without human intervention. By designing a full operational cycle for autonomous mobile robots—using GPS waypoints for path planning and integrating voice-based autodocking for battery recharging—Irfansyah contributes to making continuous, long-duration robotic operation feasible. This work is notable for bridging sensor integration, navigation, and energy management, which are essential for real-world applications like logistics and exploration. While their citation count is modest, the practical significance of their research lies in solving a bottleneck for truly autonomous systems. Irfansyah’s contributions reflect a hands-on, systems-level approach to robotics, offering valuable insights for students and researchers interested in mobile robot autonomy, human-robot interaction, and sustainable robotic operations.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Sistem Autodocking Mobile Robot Berbasis Suara Untuk Pengisian Ulang Baterai
4 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 2

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago