Research on the Field of Social Robotics and HRI

Year : 2021 | Volume : | Issue : 1 | Page : 24-34
By

    Yash Verma

  1. Anirudh V

  1. Student, Dr. Akhilesh Das Gupta Institute of Technology and Management, Delhi, India
  2. Student, Dr. Akhilesh Das Gupta Institute of Technology and Management, Delhi, India

Abstract

One of the most fascinating trends in recent technology is “Social Robots”, born out of human intelligence. Soft Robots will soon become a vital organ of Human civilization. Social robots are robots that are designed in such a way that they can interact with other living organisms. The detailed study of interactions between a Social robotic system and humans is crucial in developing this technology. With the progress in this field, social robots are becoming more and more intelligent. Social robots are widely used in the healthcare sector, Disease diagnosis, and many other customer services. To better understand this field of Soft Robots and HRI, we decided to summarise both of these concepts. In this paper, we bisected the topic into two parts. In the First part, we tried to explain the basic definition of “Social Robots”, elaborated their architecture, perceptions about them, then we discussed few of the recent and famous Social robots of our time with specifications, it’s benefits and potential risks, and the future of Social robots. In the second part, we attempted to explain HRI and its current status, it’s supervisory control, teleoperations, automated vehicles, social interactions and discussed various human factors that are required to overcome few challenges in this field. Along with that, we discussed the future scope for HRI.

Keywords: Social robots, Architecture, human interaction, supervisory control, teleoperator, telerobot

[This article belongs to Trends in Electrical Engineering(tee)]

How to cite this article: Yash Verma, Anirudh V Research on the Field of Social Robotics and HRI tee 2021; 11:24-34
How to cite this URL: Yash Verma, Anirudh V Research on the Field of Social Robotics and HRI tee 2021 {cited 2021 Apr 25};11:24-34. Available from: https://journals.stmjournals.com/tee/article=2021/view=90709/

Full Text

Browse Figures

References

1. Prescott TJ, Robillard JM. Are friends electric? The benefits and risks of human-robot relationships. iScience. 2020; 24(1): 1-14.
2. Duffy BR, Rooney CFB, O’Hare GMP et al. What is a Social Robot?; 1999 Sep 1-3; Dublin, Ireland. University College Dublin: Ireland. 10th Irish Conference on Artificial Intelligence & Cognitive Science. 7 2003.
3. Whiting T, Gautam A, Tye J et al. Confronting Barriers to human robot cooperation: balancing efficiency and risk in machine behavior. iScience.2020; 24(1): 1-26.
4. Lynch C.R. Critical Geographies of Social Robotics. Digital Geography and society; 2: 1-3.
5. Arkin RC, Fujita M, Takagi T et al. An ethological and emotional basis for human–robot interaction. Robot. Autonomous Syst: 2003;42(3-4): 191–201.
6. Asada M, MacDorman KF, Ishiguro H et al. Cognitive developmental robotics as a new paradigm for the design of humanoid robots. Robot. Autonomous Syst. 2001; 37(2-3): 185–193.
7. Banks MR, Willoughby LM, Banks WA. Animal-assisted therapy and loneliness in nursing homes: use of robotic versus living dogs. J. Am. Med. Dir. Assoc: 2008; 9(3): 173–177.
8. Sheridan T.B. Human–Robot Interaction: Status and Challenges. Human Factors: 2016; 58(4):525-532.
9. Anirudh V, Yash Verma. Challenges in the Field of Soft Robotics. Trends in electrical engineering: 2020; 10(3): 46-52.
10. Hara F, Pfeifer R (Eds.). Morpho-functional machines: The new species: Designing embodied intelligence. Springer. 2003
11. Yim M, Shen WM, Salemi B et al. Modular self-reconfigurable robot systems: Challenges and opportunities for the future. IEEE Robotics and Automation Magazine: 2007; 14(1): 43-52.
12. Bongard J, Zykov V, Lipson H. Resilient machines through continuous self-modelling. Science. 2006; 314(5802): 1118-21.
13. Lee JD, & See KA. Trust in automation: Designing for appropriate reliance. Human Factors. 2004; 46:50–80.
14. Murphy RR, & Peschel J. On the human–computer interaction of unmanned aerial system mission specialists. IEEE Transactions on Human–Machine Systems. 2013; 43: 53–56.
15. Murphy RR, Tadokoro S, Nardi D et al. Search and rescue robotics. Handbook of robotics: 2008; 1151-1173.
16. Seppelt BD & Lee JD. Making adaptive cruise control (ACC) limits visible. International Journal of Human–Computer Studies. 2007; 65:183–272.

Regular Issue Open Access Article
Volume 11
Issue 1
Received March 30, 2021
Accepted April 15, 2021
Published April 25, 2021
Views: 1,438

>