Finding the object referred to by language in a partially observed 3D scene is a core capability for embodied agents. Existing approaches either couple object search with online exploration, which can be costly when relevant observations have already been captured, or query pre-built open-vocabulary maps and scene grap...
Shi-Xiong Xu, Zhi-Yuan Chen, Song Ding et al.· 0 citations
A large language model-assisted distillation–fusion framework (VERLADF) is proposed, which introduces emotion instruction data generated by GPT to fine-tune a VLM, thereby enhancing its emotional semantic understanding capability and adaptively fuses predictions from the instruction-tuned VLM and the distillation modul...
UCAG-P is introduced, a camera-centric unified action formulation that structurally aligns heterogeneous embodied datasets into a shared geometric action space, and allows a shared VLA policy to learn transferable manipulation geometry while retaining embodiment-specific controllability.
Xiaomi Embodied Intelligence Team, University of Macau Shaoqing Xu, Fang Li et al.· 0 citations
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