About the event
Presented by: Shreyes Melkote, Professor, School of Mechanical Engineering, Georgia Tech
Manufacturing is being rapidly transformed by Industry 4.0 technologies including reliable and accurate sensing, the industrial internet and edge/cloud computing, and by advances in artificial intelligence and machine learning (AI/ML). These technologies are enabling manufacturing machines to become more self-aware, accurate, and intelligent. This talk will present some of the recent advances we have made through our work on real-time sensing and control of industrial robots for accurate machining of large-scale structures, robust machining chatter detection using human-machine interaction, and data-driven methods for automatically learning the capabilities of manufacturing processes from design and manufacturing data to enable future on-demand cyber manufacturing services.
Shreyes Melkote holds a Morris M. Bryan, Jr. Professorship in Mechanical Engineering at Georgia Tech. He also serves as Executive Director of the Novelis Innovation Hub at Georgia Tech and as Associate Director of the Georgia Tech Manufacturing Institute. His research spans many areas of manufacturing including precision machining, surface modification methods, industrial robotics, and AI/ML methods for inferring manufacturing capability knowledge from data. He is a recipient of the ASME Blackall and Machine Tool Gage Award and several best paper awards from ASME and NAMRI/SME. He is a former President of NAMRI/SME and a former ASME Foundation Swanson Fellow at the Interagency Advanced Manufacturing National Program Office at NIST. He has served on the Technical Advisory Committee of the Advanced Robotics for Manufacturing (ARM) Institute and currently serves on ASME’s Manufacturing Policy Technical Task Force. He is a Fellow of ASME, SME, and CIRP.