Enhancing Robotic Systems in Industry 4. 0: Sensor Integration and AI-Driven Quality Control

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Soltaninejadian Jafar; Soltaninejadian Sadegh

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Journal Paper

Paper Information

Journal: JOURNAL OF SCIENCE AND ENGINEERING ELITES Year:2025 | Volume:10 | Issue:1 (فروردین) Page(s): 210-215

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Information Journal Paper

Title

Enhancing Robotic Systems in Industry 4. 0: Sensor Integration and AI-Driven Quality Control

Author(s)

Soltaninejadian Jafar | Soltaninejadian Sadegh | Issue Writer Certificate

Keywords

Swarm Robotics

Industry 4.0

AI-Driven Quality Control

Autonomous Mobile Robots

Multi-Sensor Integration

Human-Robot Collaboration

Abstract

The convergence of artificial intelligence (AI), robotics, and advanced sensing technologies has revolutionized various industrial sectors, particularly within the framework of Industry 4. 0. This paper presents a comprehensive review of recent developments in Swarm Robotics, intelligent industrial systems, and Autonomous Mobile Robots. By synthesizing innovations in decentralized decision-making, advanced quality control, and Multi-Sensor Integration, the study highlights the critical challenges and emerging opportunities in these domains. The research draws on state-of-the-art methodologies to explore how these technologies enhance system flexibility, precision, and sustainability, while addressing technical and ethical concerns. The findings underscore the transformative potential of AI-driven robotics in optimizing industrial processes, improving environmental sustainability, and fostering Human-Robot Collaboration.

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