2024-03-18 09:30:00 2024-03-18 10:30:00 America/Indiana/Indianapolis New Paradigm of Automation - Robot Collaboration Intelligence and Digital Twin with Reinforcement Learning New Paradigm of Automation - Robot Collaboration Intelligence and Digital Twin with Reinforcement Learning Grissom Hall, Room 102
March 18, 2024
New Paradigm of Automation - Robot Collaboration Intelligence and Digital Twin with Reinforcement Learning
| Event Date: | March 18, 2024 |
|---|---|
| Speaker: | Dr. Young Jae Jang |
| Speaker Affiliation: | Associate Professor, Industrial and Systems Engineering Korea Advanced Institute of Science and Technology (KAIST) |
| Time: | 9:30 AM |
| Location: | Grissom Hall, Room 102 |
| Priority: | No |
| School or Program: | Industrial Engineering |
| College Calendar: | Show |
New Paradigm of Automation - Robot Collaboration Intelligence and Digital Twin with Reinforcement Learning
Abstract
This talk addresses a current trend in automation: robot collaboration intelligence. This technology enables individual industrial robots to collaborate intelligently with advanced AI technologies to control and manage them. In recent years, flexible Automated Material Handling Robots (AMHR) such as Automated Guided Vehicles (AGV), Autonomous Mobile Robots (AMR), and Overhead Hoist Transport (OHT) systems have been increasingly adopted in manufacturing lines and warehouse/distribution centers to enhance flexibility. As information technologies advance, these individual agent robots become smarter, and the fleet size of agents grows. Robot collaboration intelligence is a newly emerging technology that enables intelligent robots to work more effectively and efficiently. In this talk, we will present industry cases to illustrate the potential of this emerging technology:
- Controlling more than 1,000 Overhead Hoist Transport (OHT) Systems with Reinforcement Learning in semiconductor fabs
- Fleet control of 200 AGV/AMR for warehouses
Additionally, the concept of the Digital Twin for Robot Collaboration Intelligence is introduced. The proposed Digital Twin (OMS-DT) consists of a robot emulator, hardware-software connectors, and a virtual environment. The actual use cases of the Digital Twin are presented. The significance of semiconductor manufacturing transcends technology and trade, extending into the realms of national security and foreign policy. This pivotal role underscores the importance of specialized education in semiconductor engineering within higher education frameworks. As semiconductor fabrication plants (fabs) increasingly integrate advanced Information Technology (IT) and Artificial Intelligence (AI) into their operations, the expertise in fab design and operations becomes paramount.
Bio
Young Jae Jang is currently an Associate Professor in the Industrial and Systems Engineering Department at the Korea Advanced Institute of Science and Technology (KAIST), South Korea. He holds a joint appointment in the Department of Semiconductor Engineering. He received his Ph.D. degree in mechanical engineering from the Massachusetts Institute of Technology (MIT), along with a double M.S. degree in mechanical engineering and operations research from MIT. He obtained a B.S. degree in aerospace engineering from Boston University. Before joining KAIST, he worked for Micron Technology, one of the world's largest semiconductor chip providers. He is the Director of the KAIST Center for Manufacturing Innovation and the founder of DAIM Research Ltd., a KAIST spin-off company providing AI-based smart factory solutions. Dr. Jang currently serves as an Associate Editor of the Flexible Service and Manufacturing Journal and has held Program Chair and General Chair positions at various international conferences, including the International Symposium on Semiconductor Manufacturing Initiative (ISMI) and IEEE CASE.