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About

Aigar Hermaste is an emerging researcher specializing in smart manufacturing, digital twins, autonomous mobile robotics, and Industry 4.0 solutions for production optimization. His work sits at the intersection of digital transformation and practical industrial application, with a particular focus on helping manufacturing companies — including small and medium-sized enterprises — harness advanced technologies to improve efficiency, quality, and competitiveness. Hermaste's most impactful contributions include developing process optimization models for autonomous mobile robots (AMRs) in production logistics, work that has garnered 12 combined citations across two closely related studies published in 2024. His 2021 research on real-time production data acquisition through virtual factory environments in the chemical industry demonstrated early commitment to bridging physical and digital manufacturing realities. More recently, his 2025 case study on implementing an AI-enhanced digital twin for a custom sportswear SME highlights his dedication to making sophisticated digital tools accessible beyond large-scale industrial players. With a growing citation record and research spanning virtual factories, AI-driven decision support, and robotic logistics, Hermaste represents a forward-thinking voice in applied manufacturing informatics, offering practical frameworks that researchers and industry practitioners can adapt to real-world production challenges.