1/ ๐ How can we develop methods to generate synthetic, photorealistic data for training #AI models in robotics? We present SplatSim, a step in this direction. SplatSim is a scalable framework that generates photorealistic data for manipulation tasks using existing simulators as a physics backbone โ enabling zero-shot Sim2Real policy transfer for RGB policies! ๐
Check out our project page: https://t.co/JKuHcBWR7h and paper on arXiv https://t.co/p0tKrazgYJ
With @_sparshgarg_ Francisco Yandun, @davheld, George Kantor, @abhi_silwal@CMU_Robotics