11-June-Block-4 Seminars

2:15PM - 2:45PM

Harnessing Digital Twins for Predictive Maintenance and Process Innovation in the Smart Factory Landscape

  • Uncovering the intricacies of real-time data precision and predictive analytics in enhancing product quality through Digital Twins
  • Exploring the role of end-to-end data expertise in seamlessly integrating Digital Twins
  • Examining how Digital Twins drive innovation in manufacturing processes and foster agility to respond to evolving industry requirements
  • Delving into the specifics of data-driven decision-making and risk/reliability metrics
  • Achieving precision in predictive maintenance planning with Digital Twins
2:45PM - 3:15PM

Accelerating Intelligent Automation in Automotive Production Through AI-Enabled Robotics

Leveraging computer vision in robots for more accurate quality inspection and anomaly detection
Integrating proximity sensors and vision systems to enable safer and more seamless human-robot collaboration
Using predictive maintenance algorithms to analyse robot sensor data and avoid unplanned downtime
Achieving higher precision and consistency in robotic assembly and welding operations through AI
Continuously improving robotic processes over time using reinforcement learning from real-world trials


  • Dr Seemal Asif Senior Lecturer Artificial Intelligence and Robotics - Cranfield University
3:15PM - 3:45PM

Networking Break and Exhibition