Morning Session Keynote Talk
Time: 9:30 AM - 10:20 PM, Location: MSEE 190
Title: An Algorithm for Crowdsourcing with Hard and Easy Tasks
Speaker: Rayadurgam Srikant
Afternoon Session Keynote Talk
Time: 1:30 PM - 2:20 PM, Location: MSEE 190
Title: How Do We Learn to Use Learning in Manufacturing Systems
Speaker: Kira Barton
Manufacturing has undergone significant changes over the past five-ten years thanks to technological advancements that have been leveraged to meet a diverse set of customer requirements driven by global and societal needs. Conventional manufacturing control strategies were typically designed for robustness and speed within a controlled and well-regulated environment. However, recent demands for customization and agility coupled with big data investments have provided an opportunity for more learning-based methods to be introduced. Data driven strategies have long provided a means of harnessing information to enhance the performance of these complex systems. This talk is motivated by real-world interest from industry in understanding how to combine data-based learning and experiential knowledge to make intelligent decisions that can save time, money, and resources.
In this talk, we examine which aspects of manufacturing processes lend themselves to learning strategies and which bring additional challenges. We also explore cases in which learning has been applied in different ways to additive manufacturing processes in order to improve process knowledge and performance. Opportunities for additional integration of learning into the manufacturing domain will be discussed and open research questions for control-theoretic advancements will be highlighted.