Christos Konstantinou
Papers
4
Total Citations
137
H-Index
4
About
Christos Konstantinou is at the forefront of transforming smart manufacturing through artificial intelligence, with a primary focus on human-robot collaboration (HRC) and action recognition. His most influential work, an LLM-based approach for seamless HRC in assembly (2024, 103 citations), introduces a revolutionary manufacturing execution system that leverages Large Language Models to bridge communication gaps between humans and robots, enabling intuitive, adaptive workflows. Konstantinou further advances this paradigm with his research on generative AI prompt programming (2024, 8 citations), which redefines robotic programming by allowing operators to guide collaborative robots through natural language, eliminating the need for traditional coding. His development of the Praxis framework (2023, 21 citations) demonstrates his expertise in AI-driven human action recognition, supporting operators in high-variability assembly environments. By integrating cutting-edge LLMs and generative AI into production systems, Konstantinou addresses critical challenges in manufacturing flexibility and efficiency. His work has garnered over 137 citations, reflecting its growing impact on both academia and industry. Konstantinou’s contributions are paving the way for more intuitive, human-centric factories where collaboration between people and machines is seamless and productive.
Research Focus
Key Achievements
Top Papers
- 1
- 2Praxis: a framework for AI-driven human action recognition in assembly21 citations · 2023
- 3
- 4Enabling Seamless Human-Robot Collaboration in Manufacturing Using LLMs5 citations · 2024