Surya Darma

Papers

Total Citations

H-Index

About

Surya Darma is a robotics and autonomous systems researcher whose work focuses on human–drone interaction and intelligent unmanned aerial vehicle (UAV) control. His key research areas include speech-controlled quadcopter systems, object tracking for search and rescue operations, and the integration of machine learning with UAV autonomy. Darma’s most notable contribution is pioneering voice-activated drone control, where he compared existing and new speech databases using Mel frequency cepstral coefficient (MFCC) methods to achieve reliable motion commands. This work, published in 2018 with 5 citations, laid groundwork for hands-free UAV operation. He further advanced autonomous capabilities with his 2020 study on real-time object tracking and following for quadcopters, addressing critical challenges in search and rescue scenarios. By enabling drones to recognize and pursue newly identified targets, Darma’s research directly enhances emergency response efficiency. Though early in his career, his publications demonstrate a clear trajectory toward practical, human-centric drone systems. His work bridges the gap between speech recognition technology and aerial robotics, offering promising applications in disaster management, surveillance, and assistive technology.