Online Archive of University of Virginia Scholarship
AI Enhanced Human-Robot Collaboration in Smart Manufacturing189 views
Author
Yu, Tian, Mechanical and Aerospace Engineering - School of Engineering and Applied Science, University of Virginia0000-0001-8691-9795
Advisors
Chang, Qing, EN-Mech & Aero Engr Dept, University of Virginia
Abstract
In the era of Industry 4.0, smart manufacturing systems have witnessed unprecedented growth, ushering in a new era of productivity and flexibility. The integration of robots into manufacturing environments has been instrumental in achieving these advancements. However, the full potential of human-robot collaboration (HRC) is yet to be fully realized. This dissertation addresses novel approaches to enhance human-robot collaborative efficiency and reduce the burden of reprogramming through the application of reinforcement learning (RL)/ deep reinforcement learning (DRL) based task scheduling and robot learning from demonstration (LfD).
Yu, Tian. AI Enhanced Human-Robot Collaboration in Smart Manufacturing. University of Virginia, Mechanical and Aerospace Engineering - School of Engineering and Applied Science, PHD (Doctor of Philosophy), 2023-11-15, https://doi.org/10.18130/z8dw-wm57.
