Open Access Mini-Review

From Industry 4.0 To Industry 5.0: The Evolution of Robotics and Automation

Yusuff Babatunde Olujobi* and Ayorinde Oduroye

Caleb University, Lagos, Nigeria

Corresponding Author

Received Date:May 31, 2025;  Published Date:June 23, 2025

Introduction

This paper examines the trajectory from Industry 4.0 to Industry 5.0, addressing how intelligent automation is reshaping industries and societies globally. The ongoing digital transformation necessitates a closer look at how technologies like artificial intelligence (AI), robotics, and the Internet of Things (IoT) are moving beyond efficiency and productivity to embrace human-centric, sustainable, and value-driven goals. Industry 5.0 is built on the progress made in Industry 4.0. While Industry 4.0 brought about smart factories and connected technologies, Industry 5.0 takes it further by blending the unique strengths of people, like creativity and problem- solving, with the speed and accuracy of machines. This, therefore, changes how we think about the goal of the industry, not only about technology improvement. it also queries the fairness in innovation, the responsible use of technology, and how jobs will evolve. In addition, this paper takes a look at all these and also explores the potential advantages and possible disadvantages.

Historical Overview: From Industry 1.0 to 5.0

There is an interesting history of industrialization and industrial revolutions. The history offers valuable insights into how production and society have evolved:
• Industry 1.0 (Late 18th Century): Industry 1.0 severely changed the world. It was more than just a change in how things were made, it was a change in how people lived. This is the period of the advent of mechanization using steam power and water. Me chanical manufacturing equipment was introduced during this rev olution which is responsible for the transformation of textile and agriculture-based economies into industrial powerhouses.
• Industry 2.0 (Late 19th Century): This is the period when electricity was widely adopted and assembly line procedure also started for manufacturing, resulting in efficiency by the widespread adoption of electricity and the development of assembly line production. Innovations like the telegraph, railroads, and internal combustion engines also are responsible for significant increase in productivity and accessibility.
• Industry 3.0 (Mid 20th Century): this revolution started with the rise of electronics, IT, and early automation. This is also followed by the introduction of computers, semiconductors, and programmable logic controllers (PLCs) revolutionized data processing, paving the way for mass customization.
• Industry 4.0 (Early 21st Century): This is the revolution built on digital technologies. The building blocks of this industry 4.0 are concepts like artificial intelligence (AI) and machine learning (ML), which let machines get smarter on their own. Then there’s the Internet of Things (IoT), which connects devices to talk to each other and share information. And let’s not forget Big Data - this is all about crunching huge amounts of information to make smarter decisions. - cyber physical
• Industry 5.0 (Emerging): this is industrial revolution that can be said to be an enhancement revolution instead of being a replacement like its predecessors. It changes position of humans to be at the center of industrial innovation with emphasis on collaboration between people and intelligent machines to foster personalization, sustainability, and resilience.

Understanding Industry 4.0

Industry 4.0 signifies a significant technological leap that connects digital systems with physical manufacturing. Its fundamental purpose is to automate and simplify industrial activities using interconnected machinery and strong analytics.

Key Features:

• Cyber-Physical Systems (CPS): This is a system that involves digital and physical processes in real-time. Cyber-Physical Systems (CPS) are engineered systems that integrate computational elements with physical processes.
• Industrial Internet of Things (IIoT): Enables machine-to-machine communication and real-time monitoring.
• Big Data and Analytics: It provides insights from vast data streams for predictive maintenance and performance optimization.
• Cloud Computing: It offers scalability, data storage, and remote processing capabilities.
• Smart Manufacturing: Automated systems that can adapt and optimize production with minimal human intervention.

Impact on Industry:

• Enhanced operational efficiency and flexibility.
• Improved supply chain transparency.
• Introduction of autonomous systems in logistics and production.

Despite its many advantages, Industry 4.0 also raised issues with regional digital divides, expensive infrastructure expenditures, and employment displacement.

Emergence of Industry 5.0

The trend toward greater integration of human duties in the industrial environment is what Industry 5.0 is, not a departure from the past. It emphasizes values like innovation, sustainability, and human decency.

Defining Characteristics: Human-Centric Approach: Prioritizes the well-being of workers and focuses on enhancing human-machine collaboration.
• Personalized Production: Enables mass customization, satisfying individual customer needs.
• Sustainability: Advocates eco-conscious manufacturing practices.
• Resilience: Builds adaptive systems that can withstand disruptions (e.g., pandemics, cyber threats).

Drivers of the Transition:

• Societal push for ethical and responsible technology.
• Demand for personalized and sustainable products.
• Limitations of full automation in complex, creative tasks.

Industry 5.0 aims to create intelligent ecosystems where machines augment rather than replace human capabilities.

Key Technologies Driving Intelligent Automation

The convergence of several cutting-edge technologies underpins the transformation toward Industry 5.0:
• Artificial Intelligence (AI): Facilitates decision-making, quality control, and process optimization.
• Collaborative Robots (Cobots): Work safely and effectively alongside humans on manufacturing lines.
• Digital Twins: Virtual replicas of physical systems used for simulation and monitoring.
• Edge Computing: Reduces latency by processing data closer to the source.
• Augmented Reality (AR): Enhances real-time interaction and training by overlaying digital information onto physical environments.
• Blockchain: Ensures secure, transparent, and tamper-proof transactions across supply chains.

These technologies are not only increasing productivity but also enabling human operators to make smarter, faster, and more informed decisions.

Comparative Analysis: Industry 4.0 vs. Industry 5.0

Understanding the key differences and synergies between Industry 4.0 and 5.0 helps in charting future strategies:

Table 1:

irispublishers-openaccess-Robotics-Automation-Technology

Instead of discarding the technologies of Industry 4.0, Industry 5.0 builds upon them to create a sustainable, ethical, and balanced future. Industry 4.0 concentrated on digitizing and automating processes, while Industry 5.0 reintroduces the human element as a vital innovation driver.

Applications of Industry 5.0 in Modern Sectors

Industry 5.0 technologies are being applied across multiple sectors, delivering transformative results:
• Manufacturing: Human-centric cobots and AI-driven customization enable agile production.
• Healthcare: AI supports diagnostics, robotic surgeries, and personalized treatments.
• Agriculture: Smart farming utilizes IoT, drones, and AI to optimize yield and sustainability.
• Retail: AR, AI, and data analytics personalize customer experiences and supply chains.
• Education: Virtual reality and AI-powered tutors offer immersive and adaptive learning.

These applications demonstrate how Industry 5.0 is advancing human potential and social progress.

Ethical, Social, and Environmental Implications

As technologies become more advanced, addressing their broader impact becomes crucial:
• Ethical AI: Transparent, fair, and accountable AI systems must be prioritized.
• Data Privacy: Secure handling of personal and industrial data is imperative.
• Job Transition: Workers must be upskilled to thrive in new collaborative roles.
• Environmental Sustainability: Green technologies and circular economies help reduce industrial waste and carbon footprints.
• Digital Inclusion: Access to technology and skills must be equitable.

Policymakers and industries must work together to ensure technology supports inclusive and sustainable growth.

Future Outlook and Challenges

While Industry 5.0 promises a human-centric and intelligent future, several challenges remain:
• Integration Complexity: Seamlessly blending human input with AI and robotics.
• Cybersecurity Threats: Protecting complex networks from evolving cyber risks.
• Regulatory Frameworks: Developing global standards for AI, data use, and robotics.
• Cultural Adaptation: Encouraging acceptance of new technologies and work models.

Nevertheless, the continued evolution toward Industry 5.0 offers a powerful vision where technology enhances human life and societal well-being.

Conclusion

Industry 5.0 is a clear shift in industrialization because it fuses human creativity and empathy with the efficiency of technology. it is built on the digital underpinnings of Industry 4.0, and offers a more sustainable and inclusive future vision. Organizations and society may achieve unprecedented levels of productivity, resilience, and well-being by adopting ethical principles, technological innovation, and human collaboration.

Acknowledgement

None.

Conflict of Interest

No conflict of interest.

References

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    3. European Commission (2021) Industry 5.0: Towards a sustainable, human-centric and resilient European industry.
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