Ravi Gyawali
Papers
1
Total Citations
2
H-Index
1
About
Ravi Gyawali is a leading researcher in the fields of nonlinear control systems, multi-agent robotics, and autonomous aerial manipulation. His work focuses on the complex coordination of unmanned aerial manipulators (UAMs)—drones equipped with robotic arms—for precision tasks in dynamic environments. Gyawali’s major contribution lies in developing advanced nonlinear guidance and control strategies, such as sliding mode control, to enable teams of UAMs to collaboratively transport and deliver payloads onto moving platforms, even when those platforms maneuver unpredictably. This research addresses critical challenges in aerial robotics, including stability under variable loads and real-time trajectory adaptation. His most-cited paper, “Nonlinear Guidance and Control of Coordinated Unmanned Aerial Manipulators for Delivering a Payload on a Moving Platform” (2025), has already garnered 2 citations shortly after publication, signaling its growing influence in the field. Gyawali’s work is notable for bridging theoretical control design with practical applications in logistics, search-and-rescue, and industrial automation, making him a rising authority in autonomous systems.
Research Focus
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Top Papers
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