Prihastono

Universitas Bhayangkara Surabaya, Sepuluh Nopember Institute of Technology

Papers

Total Citations

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About

Prihastono is a robotics researcher whose work centers on autonomous navigation, behavior-based control, and fuzzy logic systems, with a particular focus on enabling robots to operate effectively in cluttered and unknown environments. His most significant contribution is the hybridization of fuzzy Q-learning with behavior-based control, a novel approach that allows mobile robots to learn and adapt their navigation strategies in real time while avoiding obstacles and reaching unknown target positions. This work, detailed in his 2009 paper "Hybridization of fuzzy Q-learning and behavior-based control for autonomous mobile robot navigation in cluttered environment," has garnered 11 citations, establishing it as a foundational reference in adaptive robot navigation. Prihastono has also explored bio-inspired robotics, notably designing a five-legged robot modeled after a sea star, and has advanced fuzzy behavior coordination methods to overcome limitations like slow movement and trap failures in traditional systems. His research bridges reinforcement learning and practical robot control, offering scalable solutions for autonomous systems in complex settings.