Niki Kousi
Papers
24
Total Citations
1,367
H-Index
19
About
Niki Kousi is a prominent researcher specializing in human-robot collaboration, digital twins, and flexible manufacturing systems. Her work sits at the intersection of robotics, augmented reality, and intelligent production, addressing one of modern industry's most pressing challenges: seamlessly integrating humans and robots in adaptive assembly environments. Kousi's most influential contribution, "Digital Twin for Adaptation of Robots' Behavior in Flexible Robotic Assembly Lines" (2019, 213 citations), established her as a leading voice in applying digital twin technology to reconfigurable production systems. Alongside her highly cited work on seamless human-robot collaborative assembly (192 citations), she has built a cohesive research program demonstrating how dynamic scheduling, multimodal interaction, and real-time simulation can transform factory workflows. Her research extends into practical enabling technologies, including wearable devices for operator support, augmented reality interfaces for robot programming, and adaptive safety monitoring systems — all designed to make human-robot collaboration safer and more intuitive. With over 1,000 cumulative citations across her top publications, Kousi's contributions have meaningfully shaped how researchers and industry practitioners approach the design of next-generation collaborative manufacturing lines, making her an essential reference for anyone exploring smart factory technologies.
Research Focus
Key Achievements
Top Papers
- 1
- 2Seamless human robot collaborative assembly – An automotive case study192 citations · 2018
- 3Towards seamless human robot collaboration: integrating multimodal interaction135 citations · 2019
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- 6Dynamic scheduling of shared human-robot manufacturing operations70 citations · 2018
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