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About

Kemahyanto Exaudi is an Indonesian robotics researcher whose work centers on autonomous mobile robot navigation, intelligent control systems, and applied sensor technologies. His research consistently explores the integration of fuzzy logic and behavior-based navigation frameworks to enable robots to operate intelligently in dynamic environments. Among his most recognized contributions is his foundational work on behavior-based navigation combined with fuzzy logic for autonomous mobile robots, which has garnered repeated citation across the robotics community. Exaudi has also made notable strides in the specialized domain of olfactory robotics, developing systems that fuse electronic nose technology with Support Vector Machine classifiers to enable mobile robots to detect and identify hazardous gas leaks — a practically significant advancement for industrial safety applications. His research extends further into maritime robotics, where he designed obstacle-avoidance navigation systems for catamaran robotic vessels using Sugeno fuzzy logic. More recently, he has investigated computer-based motion recording systems for robotic arm manipulation. With a cumulative citation portfolio reflecting steady scholarly engagement, Exaudi's interdisciplinary contributions — spanning land, sea, and industrial robotics — demonstrate a sustained commitment to making autonomous systems safer, smarter, and more responsive to real-world challenges.