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About

Petrus Mursanto is an Indonesian researcher whose work sits at the intersection of autonomous robotics, swarm intelligence, and unmanned aerial systems. His research has made significant contributions to the development of intelligent UAV systems, particularly for military surveillance, disaster response, and autonomous multi-agent coordination. Mursanto's most influential work, "Simulation of Intelligent Unmanned Aerial Vehicle (UAV) For Military Surveillance" (2013), has garnered over 227 citations, establishing him as a notable voice in autonomous aerial systems research. This paper, alongside his studies on quadcopter swarm robots for object localization and tracking (34 citations), demonstrates his sustained focus on deploying UAV technology for complex real-world missions including border patrol and reconnaissance. A particularly impactful thread in his research addresses disaster preparedness, where he pioneered the use of swarm quadrotor robots to restore and expand telecommunication coverage in disaster-affected regions — a pressing challenge for disaster-prone nations like Indonesia and Japan. His earlier work in swarm intelligence also extended to odor source localization, where he developed a novel Modified Particle Swarm Optimization algorithm for dynamic multi-source environments. Collectively, Mursanto's research reflects a consistent drive to apply autonomous systems toward critical humanitarian and security challenges.