多模态大模型的空间推理可解释性与资源效率新方法，助力机器人等决策关键场景提升信任与审计能力
arXiv:2607.27145v1 Announce Type: new Abstract: As Multimodal Large Language Models (MLLMs) are increasingly deployed in decision-critical pipelines s…
专为具身AI打造的照片级模拟器，兼顾真实感与渲染速度，突破现有仿真瓶颈。
arXiv:2607.06701v1 Announce Type: cross Abstract: Interactive simulators have become powerful tools for training embodied agents and generating synthe…
MLLMs从调用API到操纵物理工具，一文揭示其能力边界与核心挑战。
arXiv:2606.10803v1 Announce Type: cross Abstract: Multimodal Large Language Models (MLLMs) excel at utilizing digital APIs and increasingly serve as t…
前沿学术论文：区块链如何在后量子安全、互操作性与可信数据经济中支撑具身AI时代的智能社会系统。
arXiv:2606.06895v1 Announce Type: cross Abstract: The deployment of embodied artificial intelligence via world-model-based robotics presents a transfo…
首次系统综述具身AI安全，涵盖风险、攻击与防御，构建全面知识架构
arXiv:2605.02900v2 Announce Type: replace-cross Abstract: Embodied Artificial Intelligence (Embodied AI) integrates perception, cognition, planning, a…
对称现实下众包多模态示范让普通人也能训练具身AI，革新人类-智能体协同。
arXiv:2605.14556v1 Announce Type: new Abstract: Symmetrical Reality (SR) is emerging as a future trend for human-agent coexistence, placing higher dem…
开源项目Stera将普通iPhone升级为研究级空间数据采集系统，并开源10M帧数据集，为具身AI世界模型提供高质量训练数据。
We are releasing Project Stera - an open source, end-to-end pipeline that turns a commodity iPhone into a research-grade capture system for embodied A…