外观
论文arXiv 2610.2247113 天前
GPT-6-Astra 是否已实现具身智能？
原文链接：Has GPT-6-Astra Achieved Embodied Intelligence?（arXiv 2610.22471 · 发布日期：2026-10-15）
Has GPT-6-Astra Achieved Embodied Intelligence?
报告评估GPT-6-Astra的机器人操控与导航能力，结合ICL、代理式控制和真机部署，在12个基准与8种机器人配置上验证。
核心要点
- 探讨通用模型能否挑战为不同任务和具身形态构建专用模型的范式。
- 采用统一协议，允许从训练集示范进行ICL，并增加执行步数，测试独立能力。
- 在12个涵盖桌面操控、人形、移动平台和灵巧手的基准上取得前所未有表现。
- System 2推理器与System 1控制器闭环协同成本高但有效；真机部署仍有明显差距。
验证范围与局限：验证包括12个代表性基准，以及8种机器人配置上的真实世界部署实验。
英文摘要 (Abstract)
GPT-6-Astra demonstrates a level of competence in robotic manipulation and navigation that challenges the conventional paradigm of building specialized models for individual tasks and embodiments. In this report, we ask not only how capable GPT-6-Astra is, but what its capabilities imply for the field. First, we probe the limits of standalone GPT-6-Astra. We conduct a large-scale evaluation across 12 representative benchmarks spanning tabletop manipulation, humanoids, mobile platforms, and dexterous hands. Under a unified protocol that allows in-context learning (ICL) from training-set demonstrations and substantially increases the number of execution steps, GPT-6-Astra achieves unprecedented performance (Fig. 1). Future research may focus on improving 1) the generality of ICL 2) cost and execution time, 3) physical-state verification, 4) recovery from irreversible failures, and 5) long-horizon preservation of progress. Second, we study the agentic harness for embodied control. We identify that close-loop coordination between a high-level "System 2" reasoner (i.e., GPT-6-Astra) and a low-level "System 1" controller (e.g., π0.5) is costly but effective. Third, we examine GPT-6-Astra on real-world deployment. Our experiments on 8 robot configurations reveal substantial gaps: 1) robot demonstrations required for ICL are expensive to collect, and 2) it is implausible to trade longer execution for higher success rates with physical constraints. Fourth, we envision the next generation of embodied benchmarks. We develop a prototype that 1) derives tasks from real-world needs, 2) provides no in-domain demonstrations, and 3) judges agents on a world clock that keeps running while they deliberate. Taken together, our results suggest that GPT-6-Astra has largely crossed the threshold of embodied competence, but not yet that of practical embodied intelligence.
作者：SenseNova, Joint Research Team, :, Zhongang Cai, Ziang Cao, Tailai Chen, Han Chong Chua, Linjun Dai, Hanming Deng, Hokin Deng
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