Sotirios A. Tsirkas

Technological Educational Institute of Western Greece

Papers

Total Citations

H-Index

About

Sotirios A. Tsirkas is a researcher at the intersection of robotics, manufacturing optimization, and computational intelligence. His work focuses on applying genetic algorithms to solve complex planning and production challenges in industrial automation. In his most cited paper, "Planning the construction process of a robotic arm using a genetic algorithm" (2015, 16 citations), Tsirkas demonstrates how evolutionary computation can streamline the assembly of robotic systems, offering a novel approach to process planning that reduces time and resource waste. Building on this foundation, his 2018 study, "Genetic-Based Optimization of the Manufacturing Process of a Robotic Arm under Fuzziness" (5 citations), addresses a critical gap in modern industry: the need to model uncertainty in production environments. By integrating fuzzy logic with genetic optimization, Tsirkas tackles the type-2 simple assembly line balancing problem (SALBP-2), providing a robust framework for real-world manufacturing where variables are rarely crisp. This work holds high practical importance for engineers and researchers seeking to enhance efficiency in automated production lines. Though his citation counts are modest, Tsirkas’ contributions are notable for their methodological rigor and direct applicability to industrial robotics, making his research a valuable resource for those exploring the synergy between AI and manufacturing.