Anusha Mujumdar

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About

Anusha Mujumdar is a pioneering researcher at the intersection of autonomous systems, robotics, and resilient AI. Her work fundamentally reimagines how intelligent machines interact with uncertainty—moving beyond mere robustness toward systems that actively improve when faced with challenges. In her landmark paper "Antifragility for Intelligent Autonomous Systems" (2018, 2 citations), Mujumdar introduced a transformative framework where autonomous agents don't just withstand hazards but grow measurably stronger from them, a paradigm shift from traditional fragile, robust, or even resilient systems. She further advanced practical autonomy with "CAPER: A Connectivity-Aware Path Planner with Regulatory Compliance for UAVs" (2019, 2 citations), developing a novel solution that plans safe, cellular-connected drone paths while navigating complex regulatory environments. This work addresses a critical bottleneck for deploying unmanned aerial vehicles in mission-critical applications like delivery, surveillance, and emergency response. Mujumdar's contributions are particularly notable for bridging theoretical innovation with real-world constraints, ensuring that tomorrow's autonomous systems are not only smarter but safer and more adaptive. Her research continues to shape the next generation of intelligent, self-improving machines.