Reproduce “De-Risking Robotic Welding for In-Space Metal Joining Through Physics-Grounded Digital Twins” on OpenResearch
Turn your favorite coding agents into research agents that review literature, develop hypotheses, and run experiments.
Universal app for Apple silicon and Intel. Requires macOS 11 or later.
About this paper
Zhou Daniel Hao, Umer Masood Chaudry, Robert Shaw, Andrew Cheney, Nick Ludford, Mark Sims, Hongbiao Dong
The authors develop a controller for simulated robotic welding, using a Gaussian-process surrogate trained on a finite-volume thermal model to adjust power-source settings as a robot slows along an L-shaped seam. Finite-volume checks placed 12 of 12 closed-loop stations, versus 9 of 12 open-loop stations, within an illustrative width band; these were simulations, not validated welds.
Summary by alphaXiv.
Tip: change arxiv.org to autoarxiv.org in any arXiv abstract link to open the paper here.