Recent Advances in Human–Robot Interactions
Source abstract
Abstract
In recent years, the field of human–robot interaction (HRI) has developed significantly, with hundreds of scientific publications covering various research domains [...]
Only a short abstract or summary was supplied by the source.
Source: crossref · Quality: short
Research context
OpenAlex topics: Social Robot Interaction and HRI · Robot Manipulation and Learning · AI in Service Interactions
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Computer Education, Cheongju National University of Education, Cheongju 28690, Republic of Korea
Department of Humanities, University of Catania, 95124 Catania, Italy
References (25)
Show source-provided references
1. Borboni, A., Reddy, K.V.V., Elamvazuthi, I., AL-Quraishi, M.S., Natarajan, E., and Azhar Ali, S.S. (2023). The Expanding Role of Artificial Intelligence in Collaborative Robots for Industrial Applications: A Systematic Review of Recent Works. Machines, 11.10.3390/machines11010111 ↗
2. Artificial intelligence, machine learning and deep learning in advanced robotics, a review10.1016/j.cogr.2023.04.001 ↗
3. Gesture recognition with a 2D low-resolution embedded camera to minimise intrusion in robot-led training of children with autism spectrum disorder10.1007/s10489-024-05477-z ↗
4. A Review of The Application of Natural Language Processing in Human-Computer Interaction10.54254/2755-2721/106/20241328 ↗
5. Natural language processing (NLP) in management research: A literature review
6. AI and human-robot interaction: A review of recent advances and challenges10.30574/gscarr.2024.18.2.0070 ↗
7. Di Nuovo, A., Bamforth, J., Conti, D., Sage, K., Ibbotson, R., Clegg, J., Westaway, A., and Arnold, K. (2020, January 23–26). An explorative study on robotics for supporting children with autism spectrum disorder during clinical procedures. Proceedings of the Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, Cambridge, UK.10.1145/3371382.3378277 ↗
8. Fanni, S.C., Febi, M., Aghakhanyan, G., and Neri, E. (2023). Natural language processing. Introduction to Artificial Intelligence, Springer International Publishing.10.1007/978-3-031-25928-9_5 ↗
9. Kim, C.Y., Lee, C.P., and Mutlu, B. (2024, January 11–15). Understanding large-language model (LLM)-powered human-robot interaction. Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, Boulder, CO, USA.10.1145/3610977.3634966 ↗
10. Dutta, V., and Zielinska, T. (2016, January 1–3). Predicting the intention of human activities for real-time human-robot interaction (HRI). Proceedings of the Social Robotics: 8th International Conference, ICSR 2016, Kansas City, MO, USA.10.1007/978-3-319-47437-3_71 ↗
11. Gaze-based intention estimation: Principles, methodologies, and applications in HRI10.1145/3656376 ↗
12. Advancements in humanoid robots: A comprehensive review and future prospects10.1109/JAS.2023.124140 ↗
13. A developmental cognitive architecture for trust and theory of mind in humanoid robots10.1109/TCYB.2020.3002892 ↗
14. Robots in Education and Care of Children with Developmental Disabilities: A Study on Acceptance by Experienced and Future Professionals10.1007/s12369-016-0359-6 ↗
15. Mutlu, B., and Forlizzi, J. (2008, January 12–15). Robots in organizations: The role of workflow, social, and environmental factors in human-robot interaction. Proceedings of the 3rd ACM/IEEE International Conference on Human Robot Interaction, HRI 2008, Amsterdam, The Netherlands.10.1145/1349822.1349860 ↗
16. Welfare, K.S., Hallowell, M.R., Shah, J.A., and Riek, L.D. (2019, January 11–14). Consider the human work experience when integrating robotics in the workplace. Proceedings of the 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI), Daegu, Republic of Korea.10.1109/HRI.2019.8673139 ↗
17. Advanced technologies and humans in manufacturing workplaces: An interdependent relationship10.1016/j.ergon.2003.10.002 ↗
18. Warm, J.S., Matthews, G., and Finomore, V.S. (2018). Vigilance, workload, and stress. Performance Under Stress, CRC Press.
19. Woods, D.D. (2018). Decomposing automation: Apparent simplicity, real complexity. Automation and Human Performance, CRC Press.
20. Toichoa Eyam, A., Mohammed, W.M., and Martinez Lastra, J.L. (2021). Emotion-driven analysis and control of human-robot interactions in collaborative applications. Sensors, 21.10.3390/s21144626 ↗
21. Gonzalez, A.G.C., Lo, W.-S., and Mizuuchi, I. (2023). The Impression of Phones and Prosody Choice in the Gibberish Speech of the Virtual Embodied Conversational Agent Kotaro. Appl. Sci., 13.10.3390/app131810143 ↗
22. Cirasa, C., Høgsdal, H., and Conti, D. (2024). “I See What You Feel”: An Exploratory Study to Investigate the Understanding of Robot Emotions in Deaf Children. Appl. Sci., 14.10.20944/preprints202401.0816.v1 ↗
23. Loizaga, E., Bastida, L., Sillaurren, S., Moya, A., and Toledo, N. (2024). Modelling and Measuring Trust in Human–Robot Collaboration. Appl. Sci., 14.10.3390/app14051919 ↗
24. Hou, J., Xue, Z., Liang, Y., Sun, Y., Zhao, Y., and Chen, Q. (2024). Self-Configurable Centipede-Inspired Rescue Robot. Appl. Sci., 14.10.3390/app14062331 ↗
25. Lee, D., Kwon, H., and Oh, K. (2024). Real-Time Motion Blur Using Multi-Layer Motion Vectors. Appl. Sci., 14.10.3390/app14114626 ↗