Hov Melikyan
Papers
1
Total Citations
51
H-Index
1
About
Hov Melikyan is a leading roboticist whose work centers on autonomous navigation, perception, and multi-robot coordination in extreme, GPS-denied environments. As a key member of TEAM CoSTAR, Melikyan contributed to the development of NeBula, the sophisticated autonomy solution that secured victory in Phase II of the DARPA Subterranean Challenge. This landmark achievement, detailed in their highly cited 2022 paper (51 citations), involved integrating advanced algorithms, novel hardware, and robust software architectures to enable teams of collaborative subterranean autonomous robots to explore complex tunnel and urban settings. Melikyan’s research directly addresses the critical challenge of enabling robots to operate reliably where communication and localization are severely limited. Their work has set new benchmarks for field robotics, demonstrating how resilient autonomy can be deployed for disaster response, search-and-rescue, and industrial inspection. By pushing the boundaries of what is possible in underground exploration, Melikyan is helping to shape the future of autonomous systems in the most demanding real-world conditions.
Research Focus
Key Achievements
Top Papers
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