Research · Robotics & embodied AI
Robots learn tasks better with demonstrations generated by a video model
RynnWorld-Latent: A Cross-Embodiment World Model Conditioned on Universal Latent Actions
Zhao and colleagues report that a model trained across human, robot and simulation videos generates additional demonstrations that improve robot policy success in the evaluated settings.
LIBERO-Plus: 79.4% success rate (as reported)
Hong Kong Embodied AI Lab, CUHK, DAMO Academy, Alibaba Group