Sunubroto

Papers

Total Citations

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About

Sunubroto is a robotics researcher whose work focuses on intelligent control systems for autonomous mobile robots, particularly in the domain of obstacle avoidance and navigation. His key research areas include fuzzy logic control, hexapod and wheeled mobile robot locomotion, and embedded systems for real-time decision-making. Sunubroto’s major contributions lie in the development and implementation of Mamdani-type fuzzy logic controllers that enable robots to navigate complex environments with enhanced speed control and obstacle avoidance capabilities. His most cited paper, “Speed Control and Obstacle Avoidance of A Hexapod Mobile Robot using Mamdani type Fuzzy Logic Controller” (2019), has garnered 10 citations and demonstrates how bio-inspired hexapod robots can be effectively controlled using fuzzy logic to mimic insect-like movement. A closely related work, “Mamdani based Fuzzy Logic Controller for A Wheeled Mobile Robot with Obstacle Avoidance Capability” (2019), with 9 citations, extends these principles to wheeled platforms. Together, these studies highlight Sunubroto’s practical approach to bridging theoretical fuzzy logic with real-world robotic applications. His work is particularly valuable for students and researchers interested in low-cost, adaptive navigation systems, offering clear methodologies for designing robots that can autonomously sense and respond to their surroundings.