Konstantinos Katsampiris-Salgado
Papers
5
Total Citations
56
H-Index
3
About
Konstantinos Katsampiris-Salgado is a leading researcher in human-robot collaboration (HRC), specializing in making industrial robots safe and effective partners for human workers. His work focuses on high-payload applications, where the risks of close-proximity interaction are greatest. His most-cited paper (28 citations) introduces a novel collision detection method for collaborative assembly with heavy robots, a critical step toward improving operator ergonomics without compromising safety. He further advances the field by integrating AI and infrared imaging to predict operator trajectories (21 citations), enabling robots to anticipate human movement and adjust behavior autonomously. Katsampiris-Salgado also develops practical frameworks for safe tooling design and risk assessment, ensuring compliance with ISO/TS15066 standards. His recent work on the JARVIS approach explores intersubjective, AI-driven multimodal interaction for user-centric HRC, while his involvement in the Mari4_YARD project demonstrates the real-world application of advanced technologies in small and medium shipyards. With a growing citation impact and a clear focus on bridging cutting-edge AI with industrial safety, Katsampiris-Salgado is shaping the future of collaborative manufacturing.
Research Focus
Key Achievements
Top Papers
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