Revant Adlakha
Papers
2
Total Citations
21
H-Index
2
About
Revant Adlakha is a researcher at the forefront of human-robot interaction, specializing in the acoustic challenges posed by unmanned aerial vehicles (UAVs). His work centers on the critical intersection of drone noise mitigation, acoustic field characterization, and path planning for collaborative environments. Adlakha’s major contribution lies in developing a pioneering framework that integrates acoustic compliance directly into drone path planning algorithms, effectively reducing the adverse effects of high-amplitude noise—from hearing loss to diminished productivity—in human-robot shared spaces. This approach avoids the need for additional hardware or design layers, offering a practical, software-based solution. Complementing this, his experimental characterization of the acoustic field generated by hovering quadrotors, using a large-aperture setup, provides foundational data for understanding how drone noise propagates in real-world settings. With over 20 citations across his most-cited works, Adlakha’s research is gaining traction as drones become ubiquitous in photography, delivery, and workplace applications. His achievements highlight a commitment to making autonomous systems not only functional but also harmonious with human environments.
Research Focus
Key Achievements
Top Papers
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- 2