30 citations · 30 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 30 cited
Deep reinforcement learning applied to an assembly sequence planning problem with user preferences
Miguel Neves, Pedro Neto
Deep reinforcement learning (DRL) has demonstrated its potential in solving complex manufacturing decision-making problems, especially in a context where the system learns over tim…
cs.RO2022
Intuitive Robot Programming by Capturing Human Manufacturing Skills: A Framework for the Process of Glass Adhesive Application
Mihail Babcinschi, Francisco Cruz, Nicole Duarte +3
There is a great demand for the robotization of manufacturing processes fea-turing monotonous labor. Some manufacturing tasks requiring specific skills (welding, painting, etc.) su…