Papers

5

Total Citations

24

H-Index

3

About

Cristina Aceta is a researcher at the forefront of human-robot interaction (HRI), specializing in the design of natural, socially-aware service robots for industrial environments. Her work bridges the gap between production-oriented automation and the need for intuitive, ancillary support systems that assist human workers. Aceta’s major contributions focus on developing dialogue systems and way-finding mechanisms that enable robots to communicate verbally and respond to on-demand requests, enhancing workflow efficiency. Her most cited paper, “Towards a Natural Human-Robot Interaction in an Industrial Environment” (2020, 11 citations), lays the groundwork for this vision. She has also advanced ontology-driven dialogue systems, proposing a generic, multilingual approach for intent detection (2021, 4 citations), and explored optimal interaction designs for service robots providing way-finding support (2021, 3 citations). Her recent work extends into collaborative robot teleoperation in mixed reality for inspection tasks (2024). With a total of over 20 citations, Aceta’s research is pivotal in making industrial robots more accessible and cooperative, directly impacting the future of human-robot collaboration in manufacturing.

Research Focus

Key Achievements

3
H-Index
5
Papers
24
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Towards a Natural Human-Robot Interaction in an Industrial Environment
11 citations · 2020
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Tekniker, Association of Electronic and Information Technologies

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago