Fostering Collaboration: Human-Robot Interaction Enhanced by AI in Work Environments

Book Title: Exploring the Frontiers of Artificial Intelligence and Machine Learning Technologies

Editors:  Mr. Agha Urfi Mirza and Dr. Balraj Kumar

ISBN:  978-81-970457-9-0

Chapter: 1

DOI:   https://doi.org/10.59646/efaimltC1/133

Authors:  Agha Urfi Mirza1 and U. Hemamalini2

1Assistant Professor, University of Technology and Applied Sciences, Al Mulladah, Sultanate of Oman.
2Assistant professor, Department of Information technology, Vels Institute of Science, Technology & Advanced Studies (VISTAS), Pallavaram Chennai, Tamil Nadu, India.

Abstract:

This chapter provides an in-depth exploration of how artificial intelligence (AI) can augment human-robot interaction (HRI) in work environments, particularly focusing on fostering collaboration between humans and robots. It begins by introducing the concept of HRI and its critical role in modern workplaces, emphasizing the importance of effective collaboration for achieving productivity, efficiency, and safety. The chapter then delves into the specific ways in which AI technologies can enhance collaboration in HRI systems. In addition to discussing the role of AI, this chapter examines the historical context and evolution of HRI, tracing the development of the field from early industrial robots to contemporary AI-driven systems. It highlights key components essential for effective HRI, such as design considerations, usability, social intelligence, safety, and adaptability. Furthermore, the chapter explores the challenges and opportunities inherent in HRI, including technical, ethical, and societal considerations. Expanding beyond HRI, the chapter also investigates the broader impact of AI on work environments.

References

  1. Buss, M., & Kraetzschmar, G. K. (2018). Human-robot interaction: A survey. IEEE Transactions on Human-Machine Systems, 48(3), 369-384.
  2. Dautenhahn, K., & Nehaniv, C. L. (Eds.). (2002). Robots for the elderly: A new frontier in assistive technology. IOS Press.
  3. Feil-Seibert, J., & Matteucci, M. (2017). From human-computer interaction to human-robot interaction: A survey of ethical and social implications. Frontiers in Psychology, 8, 1-15.
  4. Hhuman-Robot Interaction (HRI): A Survey of Recent Advances and Challenges. (2020). Informatics, 7(2), 36.
  5. Khatib, L., & Khalifa, M. A. (2018). The impact of artificial intelligence on work: An empirical study of the effects of automation on job satisfaction and performance. International Journal of Production Research, 56(10), 3035-3050.
  6. Khansari, D. R., & Srinivasan, S. (2019). A survey on human-robot collaboration in manufacturing: Current state and future directions. International Journal of Advanced Manufacturing Technology, 107(1-4), 1025-1043.
  7. Lee, S., & Kim, J. (2020). The effect of artificial intelligence on employee trust and organizational performance. Journal of Business Research, 112, 209-217.
  8. Nguyen, T. N., & Khuat, T. T. (2020). Human-robot collaboration in Industry 4.0: A systematic review and future directions. Journal of Intelligent Manufacturing, 31(2), 309-325.
  9. Preece, J., Rogers, Y., & Sharp, H. (2002). Interaction design: Beyond human-computer interaction. Wiley.
  10. Scover, M. P., & Garcia, P. D. (2016). Human-robot interaction: A survey of the field and future directions. IEEE Transactions on Human-Machine Systems, 46(3), 361-374.
  11.  Namita Chawla, Dhananjay Narayan Bhavsar, Vaishali Jawale and Nilesh Anute, (2023). Artificial Intelligence and Machine Learning, San International Scientific Publications, ISBN: 978-81-967509-7-8, DOI: https://doi.org/10.59646/aiinhealthcare/072.
  12. A. Akila, R. Parameswari, P. Sujatha and R. Padma (2023). Fundamentals of Artificial Intelligence and Machine Learning, San International Scientific Publications, ISBN: 978-81-965552-9-0, DOI: https://doi.org/10.59646/faiml/042.