This paper presents an implementation concept for a sustainable Empathic Technical Systems developed in the Fraunhofer flagship project “EMOTION,” in which a novel approach to cooperative and decentralized production planning and control is being explored. By embedding empathic capabilities into traditional cognitive systems, ETS aim to address coordination challenges and optimize cooperation in increasingly complex industrial environments. The implementation of ETS enables the optimization of the entire production system in alignment with global goals such as sustainability, promoting environmentally friendly practices and responsible resource management. The concept of ETS ultimately contributes to the evolution of intelligent manufacturing systems by integrating affective and situational awareness, fostering enhanced collaboration between humans and machines. The concept demonstrates the implementation of the key requirements for successful ETS deployment, including perception through multimodal sensors, autonomous decision-making that aligns individual and collective goals, and continuous learning from interactions. The practical implementation of ETS is illustrated through the production of bipolar plates for fuel cells, highlighting the integration of advanced communication protocols and real-time data processing. By prioritizing human-centric approaches and sustainability, this research aims to pave the way for more resilient, adaptive, and efficient manufacturing systems that not only meet economic objectives but also promote social and environmental responsibility.

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Implementation Concept for Sustainable Empathic Technical Systems

  • Eckart Uhlmann,
  • Julian Polte,
  • Philipp Lelidis

摘要

This paper presents an implementation concept for a sustainable Empathic Technical Systems developed in the Fraunhofer flagship project “EMOTION,” in which a novel approach to cooperative and decentralized production planning and control is being explored. By embedding empathic capabilities into traditional cognitive systems, ETS aim to address coordination challenges and optimize cooperation in increasingly complex industrial environments. The implementation of ETS enables the optimization of the entire production system in alignment with global goals such as sustainability, promoting environmentally friendly practices and responsible resource management. The concept of ETS ultimately contributes to the evolution of intelligent manufacturing systems by integrating affective and situational awareness, fostering enhanced collaboration between humans and machines. The concept demonstrates the implementation of the key requirements for successful ETS deployment, including perception through multimodal sensors, autonomous decision-making that aligns individual and collective goals, and continuous learning from interactions. The practical implementation of ETS is illustrated through the production of bipolar plates for fuel cells, highlighting the integration of advanced communication protocols and real-time data processing. By prioritizing human-centric approaches and sustainability, this research aims to pave the way for more resilient, adaptive, and efficient manufacturing systems that not only meet economic objectives but also promote social and environmental responsibility.