Sulistijono Indra Adji

Universitas Negeri Surabaya, Politeknik Elektronika Negeri Surabaya

Papers

Total Citations

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About

Sulistijono Indra Adji is a robotics researcher specializing in autonomous mobile robot navigation, behavior-based control, and disaster robotics. His major contributions lie in advancing fuzzy logic and reinforcement learning techniques for robot navigation in complex, cluttered environments. In his most-cited work (2009, 11 citations), he pioneered the hybridization of fuzzy Q-learning with behavior-based control, enabling robots to navigate unknown spaces without predefined targets—a significant step toward adaptive, intelligent autonomy. He further refined robot coordination through modified fuzzy behavior coordination (2009, 3 citations), addressing common pitfalls like slow movement and trap failures. Beyond laboratory innovations, Adji is actively engaged in real-world applications, notably leading a project on disaster swarm robots (2017, 5 citations) designed for earthquake and tsunami response, where he tackles critical challenges in mobility and locomotion. His work bridges theoretical machine learning and practical robotics, with direct implications for search-and-rescue operations. With a career spanning foundational navigation algorithms to humanitarian robotics, Adji’s research demonstrates how adaptive control systems can transform autonomous robots from lab curiosities into life-saving tools in disaster scenarios.