Mughni Irfan
Papers
1
Total Citations
3
H-Index
1
About
Mughni Irfan is a robotics researcher whose work centers on heterogeneous multirobot systems, autonomous navigation in GNSS-denied environments, and maritime intervention technologies. His most-cited paper, "A Heterogeneous Multirobot System for Autonomous Object Retrieval in Challenging GNSS‐Denied Maritime Environment" (2025, 3 citations), introduces a novel framework for coordinating aerial and surface robots to retrieve large, heavy objects from vessels at sea—a critical capability for maritime security. This work addresses the formidable challenges of harsh open-sea conditions and unreliable satellite navigation, proposing robust sensor fusion and cooperative control strategies. Irfan’s contributions push the boundaries of autonomous systems in unstructured, GPS-denied settings, with potential applications in search-and-rescue, offshore operations, and defense. Though early in his career, his research demonstrates significant promise, tackling real-world problems that require innovative integration of perception, planning, and multi-agent coordination. His achievements highlight a dedication to advancing field robotics in extreme environments, making his work a valuable reference for students and researchers exploring autonomous maritime systems.
Research Focus
Key Achievements
Top Papers
- 1