Aditya Putra P
Papers
2
Total Citations
12
H-Index
2
About
Aditya Putra P is a researcher specializing in swarm robotics and pattern recognition, with a focus on developing intelligent, decentralized control systems for multi-robot coordination. His work bridges computational intelligence and autonomous systems, particularly in addressing complex tasks like obstacle avoidance, flocking, and source seeking in uncertain environments. In his most cited paper (2016, 9 citations), Putra introduced a novel approach that integrates Fuzzy-Kohonen Networks with Particle Swarm Optimization (FKNPSO) to enable swarm robots to reactively avoid static and dynamic obstacles while efficiently navigating toward targets—a significant step toward robust, scalable swarm control. His subsequent work (2017, 3 citations) advanced odor localization by proposing a pattern recognition-based source seeking behavior, tackling the challenge of coordinating large robot swarms amidst environmental uncertainties. Though early in his career, Putra’s contributions demonstrate a clear trajectory in applying neural-fuzzy systems and optimization algorithms to real-world robotic swarms. His research holds promise for applications in search-and-rescue, environmental monitoring, and industrial automation, marking him as an emerging voice in adaptive swarm intelligence.
Research Focus
Key Achievements
Top Papers
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