11-June-Block-4 Seminars

• 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

• 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