Krishna Kalyanam
Papers
2
Total Citations
23
H-Index
2
About
Krishna Kalyanam is a leading researcher in autonomous systems, robotics, and urban air mobility, with a focus on developing intelligent decision-making algorithms for complex, resource-constrained environments. His work bridges the gap between theoretical optimization and practical robotic applications. A key contribution is his pioneering research on hybrid air vehicles, where he formulated a novel coupled path planning and energy management problem for dual gas/electric propulsion systems. This work, published in 2022 and garnering 19 citations, directly addresses the noise and efficiency challenges critical for Urban Air Mobility (UAM). Earlier, Kalyanam made significant strides in multi-robot surveillance, developing approximate dynamic programming policies with performance guarantees. His 2014 paper on this topic (4 citations) provides a rigorous framework for suboptimal decision algorithms, enabling a team of robots to assist a remote operator in perimeter security tasks. By ensuring provable performance bounds, his work offers a practical and reliable approach to deploying autonomous systems in real-world, high-stakes scenarios. Kalyanam’s research is essential reading for anyone interested in the future of autonomous aerial robotics and intelligent multi-agent systems.
Research Focus
Key Achievements
Top Papers
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- 2