Irfin Sandra Asti
Papers
1
Total Citations
3
H-Index
1
About
Dr. Irfin Sandra Asti is a pioneering researcher in autonomous aerial robotics and intelligent energy systems, with a focus on optimizing quadcopter navigation through machine learning. Her most cited work, "Obstacle Avoidance with Energy Efficiency and Distance Deviation Using KNN Algorithm for Quadcopter" (2020), introduces a novel K-Nearest Neighbors-based approach that simultaneously minimizes energy consumption and positional deviation during obstacle avoidance—a critical challenge for long-endurance drone missions. This research, garnering 3 citations, bridges artificial intelligence and power engineering by integrating photovoltaic power systems with autonomous flight control. Dr. Asti’s broader contributions span medical signal processing, neural networks, and multi-robot coordination, demonstrating a unique ability to apply computational intelligence across diverse domains. Her work on energy-efficient navigation has implications for sustainable drone delivery, search-and-rescue operations, and environmental monitoring. By addressing the trade-off between safety and battery life, she has laid groundwork for next-generation autonomous systems that operate reliably in complex, real-world environments. Dr. Asti’s interdisciplinary approach continues to inspire advances in both robotics and green energy technologies.
Research Focus
Key Achievements
Top Papers
- 1