Dynin-Robotics: Omnimodal Unified Diffusion Vision-Language-Action Model

One diffusion model treats language, camera views, goals and robot actions as the same kind of token. That lets it predict actions, the next view and the end state with a single model. Pretrained on about 1.33 million robot trajectories, it averaged 78.4% success on a real Franka arm across four conditions. A faster implementation cut action decoding time by up to 29 times. Authors: Hoeun Lee, Jaeik Kim, Jusang Oh, Jinhyeok Kim, Geon Choi, Hyeonggeun Kim, Jaeyoung Do Paper: https://arxiv.org/abs/2609.13053v1