Akshaj Kumar Veldanda

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About

Akshaj Kumar Veldanda is a researcher at the forefront of integrating millimeter-wave (mmWave) communications with autonomous robotics. His work focuses on high-precision localization and navigation, leveraging the unique directionality and high-resolution sensing capabilities of mmWave signals. Veldanda’s most cited paper (2022, 20 citations) pioneered the use of mmWave link state classification for robot navigation, demonstrating how wireless signals can guide autonomous systems in cluttered environments. He extended this work (2023, 4 citations) by developing an estimation and path planning algorithm based on the Extended Kalman Filter, enabling robots to efficiently locate mmWave sources under uncertainty. His contributions bridge wireless communications and robotics, offering practical solutions for indoor navigation where GPS is unavailable. Veldanda’s research has significant implications for search-and-rescue, warehouse automation, and next-generation wireless sensing. His work is recognized for its innovative fusion of signal processing, machine learning, and robotics, making him a rising voice in the field of mmWave-assisted autonomous systems.