Embodied AI has emerged as a key paradigm for autonomous systems operating in complex physical environments. While end-to-end models have established strong local capabilities for perception and control, scaling these capabilities to extended, multi-stage tasks remains difficult. Agentic embodied systems address this c...
Min Chen, Sheng-Jun Zhang, Yu-Xin Li et al.· 0 citations
3D object composition is pivotal to digital content creation and robot simulation, while also serving as a critical testbed for physical intelligence in foundation models. Previous methods either leverage large language models to directly predict object coordinates, or utilize generative diffusion priors to synthesize...
Weichen Lyu, Chong Xia, Ming-Yu Dong et al.· 0 citations
GIF, an agentic Generation framework for Interactive and Functional object compositions, recast this problem as disentangled reconstruction followed by relative pose recovery, revealing diversity scaling in both simulation and real-world deployment.
Long-Ji Xu, Zhi-Qi Zhang, Mi Yan et al.· 2 citations· ⚡2
This work proposes ParallelWorld, a multi-horizon test-time scaling framework for embodied reasoning that empowers agents to simulate and evaluate multi-step future trajectories in parallel before committing to an action.
Min Chen, Shengjun Zhang, Yu-Xin Li et al.· 0 citations
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