Sagar Jagtap
Papers
1
Total Citations
14
H-Index
1
About
Sagar Jagtap is a robotics researcher whose work focuses on the intersection of autonomous systems, machine learning, and control theory, with a particular emphasis on enabling resilient aerial robotics. His most cited paper, "A Robust Strategy for UAV Autonomous Landing on a Moving Platform under Partial Observability" (2024, 14 citations), tackles one of the most demanding challenges in drone autonomy: safely landing a multi-rotor UAV on a moving target when sensors are degraded by noise or failure. By integrating techniques from robotics and machine learning, Jagtap has developed strategies that maintain robust performance even under partial observability—a critical capability for real-world applications like shipboard landings or emergency response. Though early in his career, his work demonstrates a clear focus on bridging theoretical control methods with practical deployment constraints. His contributions are particularly relevant for students and researchers interested in how autonomous systems can maintain safety and reliability when perfect sensing is unavailable, making his research foundational for the next generation of resilient aerial robots.
Research Focus
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Top Papers
- 1