Sotirios K. Goudos

Papers

Total Citations

446

H-Index

About

Sotirios K. Goudos is a leading researcher at the intersection of artificial intelligence, robotics, and wireless communications, with a particular focus on optimization and energy harvesting. His most impactful work, "Faster R-CNN for multi-class fruit detection using a robotic vision system," has garnered 438 citations, demonstrating his significant contribution to precision agriculture by enabling autonomous robots to identify and classify fruits with high accuracy. This work bridges computer vision and robotics, offering practical solutions for smart farming. Beyond vision systems, Goudos has explored chaotic motion control for mobile robots, developing memory-based techniques that improve autonomous navigation and path planning. He has also advanced the field of Radio Frequency (RF) energy harvesting, optimizing dual-band rectifier designs to power wireless sensor networks and Internet-of-Things (IoT) devices. His research spans critical domains including biomedical applications, agricultural robotics, and sustainable energy solutions. Goudos’s work is characterized by its interdisciplinary approach, combining algorithmic optimization with real-world applications, making him a notable figure in the development of intelligent, energy-autonomous systems.