HumanOps – Human-Centered Operational Ecosystem for Advanced Manufacturing
2026 – ongoing
Regional project, Bando SWIch, Programma Regionale Piemonte F.E.S.R. 2021/2027
HumanOps is a research and development project aimed at redefining human-machine interaction in advanced industrial environments through the development of a modular and adaptive technological ecosystem. The project originates from the observation that, despite the rapid evolution of automation and digital manufacturing systems, many industrial processes still suffer from inefficiencies, safety concerns, cognitive overload, and limited accessibility in operator interfaces. HumanOps addresses these challenges by placing the human operator at the center of technological innovation, in line with the emerging paradigm of Industry 5.0.
The core objective of the project is to design and validate an integrated system that enhances operational efficiency, improves workplace safety, and reduces physical and cognitive strain through advanced interaction technologies. The proposed solutions combine wearable sensors, intelligent vision systems, RFID-based tracking, virtual reality environments, IoT devices, and AI-driven data processing within a unified digital architecture. Rather than introducing isolated tools, HumanOps develops an interoperable framework in which these technologies cooperate to support operators in real time, enabling intuitive gesture and voice-based commands, contextual visual feedback through head-up displays, and immersive training experiences in safe virtual environments.
A key scientific contribution of the project lies in the development of adaptive multimodal interfaces capable of interpreting human posture, gestures, and movement through inertial measurement units and computer vision algorithms. These systems are designed to translate natural human behavior into machine commands while simultaneously providing feedback that enhances situational awareness. In parallel, the integration of advanced vision systems and wearable display technologies allows operators to access relevant operational data directly within their field of view, minimizing unnecessary movement and reducing response times. Virtual reality environments are also developed to improve training procedures, enabling operators to acquire skills and simulate critical scenarios without exposure to real operational risks.
The project is initially validated in automated warehouse systems, a context characterized by high complexity and significant interaction between humans and robotic infrastructure. However, the modular architecture of HumanOps ensures scalability and transferability to multiple industrial domains, including logistics, automotive manufacturing, healthcare, and food production. By advancing the technological maturity of the developed solutions from experimental validation to demonstration in relevant industrial environments, the project contributes to bridging the gap between laboratory research and real-world application.
Beyond technological innovation, HumanOps promotes a sustainable and human-centered vision of digital transformation. Through predictive maintenance algorithms, real-time monitoring, and data-driven optimization, the system supports more efficient resource utilization, reduction of downtime, and improved reliability of production processes. At the same time, the emphasis on ergonomics, accessibility, and inclusive interface design contributes to safer and more adaptable working environments.
