About

Srikanth Saripalli is a prominent robotics researcher whose work spans autonomous unmanned aerial vehicles (UAVs), computer vision-based navigation, and off-road autonomous systems. His research has fundamentally advanced the capabilities of GPS-denied flight, demonstrating that affordable multirotor platforms can reliably perform complex visual object tracking and following — work that has garnered nearly 100 citations. Saripalli's contributions to visual and inertial navigation for UAVs, dating back to 2008, helped establish foundational frameworks still referenced today. His interdisciplinary reach is notable: he pioneered the application of UAV technology to ecohydrology, enabling unprecedented high-resolution environmental monitoring, a paper that has attracted over 90 citations. Early in his career, Saripalli tackled the challenge of autonomous sensor network deployment using flying robots, contributing seminal work that shaped how researchers think about aerial robotic infrastructure. His portfolio also includes autonomous ship-deck landing, GPU-accelerated voxel mapping for off-road navigation, and UAV integration in manufacturing environments. With research spanning more than two decades — from the University of Southern California to cutting-edge terrain navigation — Saripalli represents a versatile and enduring voice in autonomous systems and field robotics.

Research Focus

Key Achievements

10
H-Index
20
Papers
523
Total Citations
26
Avg Citations/Paper
🏆 Most Cited Paper
Computer vision based general object following for GPS-denied multirotor unmanned vehicles
97 citations · 2014
📈 Most Prolific Year: 2020 (3 Papers)
🤝 Key Collaborators: 45
🏛 Institutions: Arizona State University, Southern California University for Professional Studies, Embedded Systems (United States), Texas A&M University, Earth and Space Research, University of Arizona

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago