A novel integrated industrial approach with cobots in the age of industry 4.0 through conversational interaction and computer vision

TL;DR

Problem: bridging human, cobot, and IT systems in Industry 4.0 to achieve flexible, cognitive manufacturing. Approach: an integrated Intelligent CPS with four core components—cobot, adaptable end effector, computer vision, and conversational interfaces—interconnected via a Spring Boot web app and cloud services to translate natural language into automated actions. Contributions: a detailed architectural framework, an end-to-end integration pipeline (NLP, CV, mechanical interfaces), and two real-world use cases (pasta quality control and coffee pod selection) demonstrating cross-system communication and operational improvements. Significance: enables closer human–robot collaboration, supports scalable deployment, and points toward digital twins and a Company Brain for autonomous decision-making in dynamic markets.

Abstract

From robots that replace workers to robots that serve as helpful colleagues, the field of robotic automation is experiencing a new trend that represents a huge challenge for component manufacturers. The contribution starts from an innovative vision that sees an ever closer collaboration between Cobot, able to do a specific physical job with precision, the AI world, able to analyze information and support the decision-making process, and the man able to have a strategic vision of the future.

Figures (1)

• Figure 1: Framework Architecture including Conversational Interfaces, Computer Vision and Cobot