Within the Sustainable Transition to the Agile and Green Enterprise (STAGE) initiative, digital twins play a crucial role in transforming industrial robotics towards greater efficiency, sustainability, and agility. Digital twins are virtual representations of physical robotic systems that enable real-time simulation, monitoring, and optimization of manufacturing processes.
This module will showcase the possibilities of creating and utilizing digital twins in industrial robotics, emphasizing their impact on process optimization, predictive maintenance, energy efficiency, and flexible automation. Participants will gain insights into how digital twins can support sustainability reporting, investment readiness, and decision-making by providing data-driven insights into robotic system performance.
By bridging the physical and digital worlds, digital twins empower enterprises to reduce operational costs, minimize resource waste, and accelerate innovation, aligning with the broader goals of green and agile manufacturing. The session will highlight real-world applications, implementation strategies, and key benefits for enterprises looking to integrate digital twins into their industrial robotics ecosystems.
Link to STAGE webinar 27th March 2025 at 10:00 CET, organized by MTF STU:
https://meet.google.com/nmn-vkib-koo
