arxivcs.ROcs.AI2026-07-06
Learning 4D Geometric Priors for Inference-Efficient World Action Models
Jianjun Zhang, Jian Zhu, Taiyi Su, Chong Ma, Zitai Huang, Yi Xu, et al.
World Action Models (WAMs) have shown strong potential for robotic manipulation by jointly modeling visual future dynamics and executable action sequences. However, existing video-action co-training methods primarily optimize appearance-oriented video latents, which may insuffici…