Integrating world models into Vision-Language-Action models (VLAs) has emerged as a promising direction, enabling policies to anticipate future dynamics beyond reactive observation-to-action mapping. However, existing approaches vary simultaneously in their world representations, integration paradigms, and policy backb...
Qi-Sen Ma, Yi-Xiang Chen, Yuan Xu et al.· 0 citations
Vision-Language-Action (VLA) models have become a central paradigm for robot policy learning, which predict actions in three forms: raw action chunks, discrete action tokens, or continuous action latents. However, existing action representations primarily model action trajectories, with limited consideration of the vis...
Yuan Xu, Yi-Xiang Chen, Qi-Sen Ma et al.· 0 citations
The Unified Embodied Seeking and Following Benchmark (UESF-Bench) is introduced, a large-scale and diverse benchmark for embodied human seeking and following that requires agents to handle semantic-guided exploration, reliable behavior switching and recovery, and delayed identity grounding.
Kun Yu, Jianhua Yang, Yixiang Chen et al.· arXiv.org· 0 citations
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