Elakhya Nedumaran
Papers
1
Total Citations
2
H-Index
1
About
Elakhya Nedumaran is a robotics researcher whose work focuses on bridging the gap between advanced control theory and practical deployment on resource-constrained hardware. Her primary research areas include model-predictive control (MPC), optimization algorithms, and embedded systems for robotics. Nedumaran’s major contribution is the development of Conic-TinyMPC, a code generation framework that enables efficient implementation of MPC with conic constraints on microcontrollers. This work addresses a critical challenge in robotics: deploying sophisticated control methods on low-power devices without sacrificing performance. Her 2024 paper on this topic has already garnered attention, with 2 citations in its first year, signaling growing impact in the field. Notably, her approach allows for more expressive modeling of robotic systems while maintaining computational efficiency—a key advancement for autonomous drones, legged robots, and other embedded applications. Nedumaran’s work is particularly significant for students and researchers interested in real-time control, optimization, and the intersection of theory and practice in robotics. Her contributions are helping to democratize advanced control methods, making them accessible for a wider range of robotic platforms.
Research Focus
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Top Papers
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