Papers
13
Total Citations
279
H-Index
9
About
Iveta Eimontaite is a researcher whose work sits at the intersection of human-robot interaction, collaborative robotics, and the future of digital manufacturing. Her scholarship spans the psychological, communicative, and technical dimensions of integrating robotic systems into industrial workplaces, making her a distinctive voice in the Industry 4.0 discourse. Among her most influential contributions is her highly cited 2022 work on Workplace 4.0 (105 citations), which examines how digital manufacturing technologies reshape workforce sustainability — a timely and widely referenced study in the field. Complementing this, her research on graphical signage and dynamic visual instructions for human-robot co-working environments has demonstrated that well-designed, language-free communication tools meaningfully reduce worker anxiety and improve task performance, with these studies accumulating over 40 and 15 citations respectively. Eimontaite has also advanced the technical side of collaborative robotics through ROS-integrated frameworks for the KUKA LBR iiwa robot (43 citations) and dual-arm co-manipulation architectures. Her more recent theoretical contributions, including the Social Triad Model of trust in human-robot interaction, reflect an evolving interest in the social and ethical dimensions of robotic deployment. Across her body of work, she consistently bridges engineering practice with human factors research, offering valuable insights for both practitioners and scholars navigating automated workplaces.
Research Focus
Key Achievements
Top Papers
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- 2A ROS-integrated API for the KUKA LBR iiwa collaborative robot43 citations · 2017
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- 9Assessing Graphical Robot Aids for Interactive Co-working10 citations · 2016
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