Agus Triadi

Papers

Total Citations

H-Index

About

Agus Triadi is a researcher specializing in swarm robotics and intelligent control systems, with a particular focus on integrating fuzzy logic and optimization algorithms. His most cited work, "Swarm Robots Control System based Fuzzy-PSO" (2014), introduces a novel approach that combines fuzzy logic with Particle Swarm Optimization (PSO) to enable multiple robots to navigate unknown environments collaboratively. By leveraging fuzzy logic for adaptive decision-making and PSO for efficient path optimization, Triadi’s system allows swarm robots to communicate and coordinate seamlessly toward shared targets. This contribution addresses critical challenges in decentralized robotics, such as real-time obstacle avoidance and dynamic task allocation. While his citation count remains modest, his work lays foundational groundwork for scalable, intelligent swarm behaviors—a field with growing relevance in search-and-rescue, environmental monitoring, and autonomous logistics. Triadi’s research exemplifies how hybrid control strategies can enhance robotic autonomy, offering practical pathways for future innovations in multi-agent systems. His dedication to bridging theoretical algorithms with real-world robotic applications marks him as a thoughtful contributor to the advancement of swarm intelligence.