Industry 5.0: Sustainability Challenges in Fusion of Human and AI
Amitabh Patnaik, Sunny Dawar, Pallavi Kudal
- Year
- 2022
- Citations
- 5
Abstract
Most industrial revolutions aim to separate human labor from that of machines. These machines are referred as "machines" or "robots," will eventually take over the majority of the labor-intensive, monotonous, or hazardous tasks currently performed by people. Cleaning robots, for instance, can efficiently clean a room or an office. Future cleaning chores will eventually all be carried out by robots; it is only a question of time. Although currently both humans and robots can perform cleaning tasks, prior data on the rate of mechanization suggests that in the future humans will perform fewer cleaning than robots. The degree of technology and public acceptance of robots determine how quickly automation permeates human lives. Studying how people and robots interact and how it affects society is crucial because robots may have a big impact on civilization. Industry 4.0 has attracted a lot of interest since its debut in 2011. Additionally, the conversation around Industry 5.0 has already begun among some academics and futurists. They present various visions of Industry 5.0. Collaboration between robots and humans is one evolving topic for Industry 5.0. People are unsure of what Industry 5.0's theme will be after some time. However, people can be certain that the coworking of humans and robots will be a significant advancement for society and have a big impact on how people conduct business. Researchers aim at contrasting Industry 4.0 with Industry 5.0 perspectives. Further researchers concentrate on the challenges which people would face when co-working between humans and robots start. Researchers finish the study by briefly discussing potential areas for future investigation.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991