Nvidia researchers propose technique to transfer AI trained in simulation to the real world
May 19, 2020
In a preprint paper published this week on Arxiv.org, Nvidia and Stanford University researchers propose a novel approach to transferring AI models trained in simulation to real-world autonomous machines. It uses segmentation as the interface between perception and control, leading to what the coauthors characterize as “high success” in workloads like robot grasping.
Simulators have advantages…