Max Robotics — Global Service Robot Directory + US Certification

About

Konstantinos Charalampous is a robotics researcher whose work sits at the intersection of autonomous navigation, social robot behavior, and machine learning. Best known for his highly cited 2017 survey on socially aware robot navigation — which has garnered over 170 citations and remains a landmark reference in the field — Charalampous has made substantial contributions to enabling robots to move intelligently and safely in human-populated environments. His research pioneered the use of semantic maps enriched with spatial and temporal information, as well as action recognition techniques, to help robots interpret and respond to complex social contexts during navigation. Beyond social robotics, Charalampous has tackled fundamental challenges in autonomous systems, including multi-objective exploration strategies for mobile robots, real-time dynamic obstacle avoidance, and SVM-based local path planning. His work on the AVERT multi-robot platform demonstrated practical innovation in autonomous vehicle extraction and transportation. He has also ventured into computer vision and deep learning, contributing a tensor-based learning framework and monocular 6DoF pose estimation techniques. With a body of work accumulating over 450 citations across diverse robotic domains, Charalampous represents a versatile and impactful voice in modern autonomous systems research, offering students and engineers alike a rich foundation of both theoretical and applied insights.