HoloAgent-0: A Unified Embodied Agent Framework with 3D Spatial Memory
LLM agents follow a practical execution loop in digital environments: they reason over structured states, invoke tools, inspect feedback, and revise actions. Extending this loop to physical robots is difficult because physical execution is continuous, embodiment-dependent, uncertain, and constrained by safety. Existing embodied-AI systems have advanced manipulation, spatial understanding, navigation, and humanoid control, but these capabilities often remain specialized modules or loosely coupled decision loops. In this work, we introduce HoloAgent-0, a unified embodied agent framework for real-world robot deployment. Embodied AgentOS converts language instructions into executable skill gr...
| Authors | Xiaolin Zhou, Liu Liu, Tingyang Xiao et al. |
|---|---|
| Primary category | cs.RO |
| Published | 22 June 2026 |
| Last updated at source | 22 June 2026 |
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