EL3DD: Extended Latent 3D Diffusion for Language Conditioned Multitask Manipulation

ArXi:2511.13312v2 Announce Type: replace-cross Acting in human environments is a crucial capability for general-purpose robots, necessitating a robust understanding of natural language and its application to physical tasks. This paper seeks to harness the capabilities of diffusion models within a visuomotor policy framework that merges visual and textual inputs to generate precise robotic trajectories. By employing reference nstrations during