agent/papers/items/2026-2607-04426-ace-brain-0-5-a-unified-embodied-foundational-model-for-physical-agentic-ai.md

Paper: ACE-Brain-0.5: A Unified Embodied Foundational Model for Physical Agentic AI

---

type: paper title: "ACE-Brain-0.5: A Unified Embodied Foundational Model for Physical Agentic AI" authors: "ACE-Brain Team, :, Ziyang Gong, Haoming Gu, Zehang Luo, Tianyi Zhang, Tao Tao, Yixiao Chi, et al." year: 2026 venue: arXiv url: https://arxiv.org/abs/2607.04426 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-07-05 updated_at: 2026-07-05 status: queued relevance: high topics:

• agent-evaluation
• embodied-agent
• memory
• planning
• rag
• reasoning
• tool-use methods:

benchmarks:

models:

datasets:

• cs.RO related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 17 collection_queries: agentic-ai

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

• matched queries: agentic-ai
• inferred topics: agent-evaluation, embodied-agent, memory, planning, rag, reasoning, tool-use
• arXiv categories: cs.RO
• collection score: 17

Review Checklist

• Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
• Does it include a benchmark, dataset, code, or reproducible experimental setup?
• Should it be promoted from queued to skimmed or summarized?

Links

• arXiv: https://arxiv.org/abs/2607.04426