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About

Georgios Ch. Sirakoulis is a distinguished researcher whose work bridges computer vision, robotics, and unconventional computing. His scholarship spans stereo vision, simultaneous localization and mapping (SLAM), crowd dynamics, and cellular automata-based computational methods — fields in which he has made sustained and influential contributions over more than two decades. Sirakoulis's most cited work, a comprehensive 2008 review of stereo vision algorithms from software to hardware (388 citations), established him as a leading authority on depth perception in machine vision and robotics. Building on this foundation, he pioneered real-time active SLAM systems using stereo cameras, enabling fully autonomous robot navigation and obstacle avoidance. His innovative application of cellular automata to cooperative robot path planning and collision-free trajectory generation opened new avenues in distributed robotics intelligence. Beyond traditional robotics, Sirakoulis has explored unconventional computing paradigms — including Belousov-Zhabotinsky chemical reaction-based processors — contributing to the emerging field of emergent computing. More recently, his survey on assistive robotics for elderly populations (2023) reflects a growing commitment to socially impactful technology. His work on robot-guided crowd evacuation further demonstrates his reach into public safety applications. Collectively, his publications have garnered over 750 citations, underscoring his significant and broad influence across multiple research communities.