Vasileios Argyriou

Kingston University, Imperial College London

Papers

7

Total Citations

153

H-Index

3

About

Dr. Vasileios Argyriou is a leading researcher at the intersection of computer vision, robotics, and autonomous systems, with a particular focus on intelligent, energy-efficient solutions for real-world challenges. His most cited work, a seminal 2022 paper on *Coverage Path Planning Methods Focusing on Energy Efficient and Cooperative Strategies for Unmanned Aerial Vehicles* (90 citations), establishes foundational algorithms for minimizing path overlap and execution time in multi-UAV operations, directly impacting aerial surveillance and agricultural monitoring. Dr. Argyriou’s expertise extends to crowd behavior analysis from both fixed and moving cameras (28 citations), where he develops robust models for dynamic scene understanding. More recently, he has pioneered the application of autonomous AI in sustainability, authoring a 2024 paper on an *Autonomous AI-enabled Industrial Sorting Pipeline for Advanced Textile Recycling* (25 citations), which tackles the global textile waste crisis by replacing inefficient manual sorting with intelligent, automated systems. His broader portfolio includes innovative risk analysis for smart homes and cognitive behavior analysis using depth sensors. With a career spanning foundational robotics theory to cutting-edge green AI, Dr. Argyriou’s work demonstrates a consistent drive to translate complex algorithms into tangible, impactful technologies.

Research Focus

Key Achievements

3
H-Index
7
Papers
153
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
Coverage Path Planning Methods Focusing on Energy Efficient and Cooperative Strategies for Unmanned Aerial Vehicles
90 citations · 2022
📈 Most Prolific Year: 2018 (2 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Kingston University, Imperial College London

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago