Jitesh Mohanan
Papers
2
Total Citations
33
H-Index
2
About
Jitesh Mohanan is a researcher specializing in autonomous systems, pursuit-evasion dynamics, and real-time decision-making in adversarial environments. His work centers on the target guarding problem (TGP), where a pursuer must intercept an evader to protect a stationary target—a challenge with direct applications in defense, robotics, and security. Mohanan’s major contributions include developing optimal interception strategies that operate under real-time constraints and noisy sensor measurements, bridging theoretical game theory with practical implementation. His 2018 paper, “Toward Real-Time Autonomous Target Area Protection: Theory and Implementation,” with 17 citations, lays foundational algorithms for autonomous target defense, while his 2019 work, “The Target Guarding Problem: A Real Time Solution for Noise Corrupted Measurements,” with 16 citations, extends these solutions to realistic, imperfect sensing conditions. These contributions demonstrate how to translate optimal control into deployable systems, earning recognition for advancing autonomous protection in uncertain environments. Mohanan’s research is pivotal for students and engineers interested in multi-agent coordination, differential games, and robust real-time autonomy, offering a clear path from theory to field-ready applications.
Research Focus
Key Achievements
Top Papers
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