Hassan Khaniani
Papers
5
Total Citations
76
H-Index
2
About
Hassan Khaniani is a leading researcher at the intersection of robotics, autonomous systems, and mining safety. His work focuses on developing intelligent robotic platforms—including hybrid drone/UGV teams—for the extreme, GPS-denied environments of underground mines. Khaniani’s most impactful contribution is his comprehensive review of multi-agent hybrid drone/ground vehicle configurations for subterranean exploration, which has garnered 68 citations and serves as a foundational reference for researchers designing autonomous systems in challenging underground spaces. He has also advanced mine search and rescue robotics, identifying critical design requirements for platforms that must operate in hazardous post-disaster conditions. Notably, Khaniani’s research extends beyond hardware to human-robot interaction, as seen in his work on interface design for emergency robots—a crucial but often overlooked factor in successful deployment. His studies on droppable wireless mesh networks and autonomous path planning for UGVs address the practical communication and navigation barriers that limit real-world adoption. With a growing citation record and a focus on translating robotic capabilities into life-saving applications, Khaniani is shaping the future of safe, autonomous operations in the world’s most inaccessible environments.
Research Focus
Key Achievements
Top Papers
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- 4Droppable Wireless Mesh Network for Intelligent Mine Rescue System2 citations · 2023
- 5