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About

Panagiotis Sarigiannidis is a versatile researcher whose work spans artificial intelligence, autonomous systems, robotics, and sustainable technology. He has made notable contributions to the field of unmanned aerial vehicles (UAVs), particularly through his widely cited 2022 study on coverage path planning algorithms, which has garnered 90 citations and addresses energy-efficient and cooperative strategies for multi-UAV systems — a critical challenge in modern robotics and aerial autonomy. His research extends into AI-driven industrial applications, including a pioneering autonomous sorting pipeline for textile recycling that tackles pressing global sustainability concerns, reflecting his commitment to socially impactful innovation. Sarigiannidis has also explored the intersection of AI and human welfare, notably examining robotic applications in Autism Spectrum Disorder diagnosis and emotion recognition, demonstrating a humanistic dimension to his technical work. His engagement with emerging technologies is further evidenced by contributions on ChatGPT and the convergence of AI with robotic process automation. Additionally, his work on RF energy harvesting for IoT and wireless sensor networks underscores his breadth across communications and smart systems. With a growing citation record across diverse disciplines, Sarigiannidis represents a multidisciplinary researcher making meaningful strides at the frontier of intelligent, autonomous, and sustainable technologies.