Rohit Garg
Papers
1
Total Citations
71
H-Index
1
About
Rohit Garg is a leading researcher in aerial robotics and autonomous systems, with a primary focus on vision-based control for unmanned aerial vehicles (UAVs). His most influential work, "Visual Servoing Approach to Autonomous UAV Landing on a Moving Vehicle" (2022), has garnered 71 citations and addresses a critical challenge in the field: enabling drones to land safely on moving platforms like delivery trucks or marine research vessels. By developing a visual servoing controller that uses velocity commands to guide the UAV toward a ground vehicle, Garg’s method enhances the reliability and autonomy of aerial operations in dynamic environments. This contribution has significant implications for logistics, search-and-rescue, and marine research, where precise landings on moving targets are essential. His work stands out for its practical applicability and robust performance, making it a cornerstone for future advancements in autonomous drone navigation. Garg’s research continues to push the boundaries of what UAVs can achieve, solidifying his reputation as an innovator in the intersection of computer vision and robotics.
Research Focus
Key Achievements
Top Papers
- 1Visual Servoing Approach to Autonomous UAV Landing on a Moving Vehicle71 citations · 2022