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About

Bukhari Ilias is a robotics researcher whose work centers on developing intelligent mobile robots for human assistance and autonomous navigation in complex environments. His primary research areas include human-following robotics, sensor integration, and indoor mobile robot localization. Ilias made significant contributions by designing a hospital nurse-following robot that automates the transport of medical instruments, reducing physical strain on healthcare staff. His development of the USB-16 ultrasonic sensor bank—a hexadecagon-based array of sixteen 40 kHz sensors—enabled real-time 2D and 3D mapping for mobile robots, advancing low-cost sensing solutions. He also pioneered the use of K-Nearest Neighbors (KNN) scan matching for improved indoor localization, addressing accuracy issues in traditional ICP algorithms. With over 50 citations across his most-cited works, Ilias’s research has practical implications for healthcare, confined space inspection, and autonomous systems. Notably, his recent work on an intelligent sumo robot using embedded fuzzy logic demonstrates his ongoing innovation in real-time control. Ilias’s contributions bridge hardware development and algorithmic optimization, making him a notable figure in service robotics and sensor-based navigation.