Papers
1
Total Citations
20
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1
About
Yash Jangir is a rising researcher in aerial robotics, with a focus on autonomous manipulation using fully-actuated unmanned aerial vehicles (UAVs). His most cited work, "Image-Based Visual Servo Control for Aerial Manipulation Using a Fully-Actuated UAV" (2023, 20 citations), tackles a critical challenge: enabling UAVs to perform high-altitude physical tasks—such as grasping or assembly—without relying on GPS or ground truth state estimates. By integrating image-based visual servoing with a fully-actuated platform, Jangir’s approach allows drones to precisely interact with their environment using only onboard vision, reducing dependence on external infrastructure. This work has significant implications for infrastructure inspection, maintenance, and disaster response, where GPS-denied or hazardous conditions limit human access. His contributions advance the field by bridging the gap between passive aerial observation and active manipulation, offering a more robust and practical solution for real-world deployment. As a young scholar, Jangir’s research is already shaping the next generation of autonomous aerial systems, and his innovative use of visual feedback positions him as a key contributor to the future of robotic manipulation in unstructured environments.
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Top Papers
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