自变量发布 X2Real 仿真到现实机器人基准
自变量推出 X2Real，一个基于 NVIDIA Isaac Lab-Arena 的通用机器人策略 sim-to-real 基准，覆盖 10 个能力维度、44 个分层长程任务，涵盖视觉与语言推理、精细操作、双臂协作和工具使用。策略在环境外观、任务设置和机器人本体 3 个 OOD 维度上接受测试；仅用真实世界数据训练的策
X Square Robot· @XSquareRobot · X·2026-10-19 17:24· 56 分钟前AI 评分38
AI 导读
自变量推出 X2Real，一个基于 NVIDIA Isaac Lab-Arena 的通用机器人策略 sim-to-real 基准，覆盖 10 个能力维度、44 个分层长程任务，从视觉与语言推理到精细操作、双臂协作和工具使用。
正文 · 原文
Meet X2Real—a sim-to-real benchmark for generalist robot policies, built on @NVIDIARobotics Isaac Lab-Arena - an open-source framework for scalable policy evaluation in simulation.
X2Real evaluates 10 capability dimensions across 44 hierarchical, long-horizon tasks—from visual and language reasoning to fine manipulation, bimanual collaboration and tool use.
Policies are tested across 3 OOD axes: environment appearance, task settings and robot embodiment.
On policies trained only with real-world data, X2Real achieves a 0.84 linear correlation between simulation and real-world evaluation scores.
Powered by our Physical DSL, the platform creates an agent-driven loop from task composition and environment compilation to policy rollout and trajectory evaluation.
Explore X2Real:
https://developer.x2robot.com/developer/platform
#PhysicalAI #Robotics #EmbodiedAI #Sim2Real
来源：X Square Robot · x.com
来源：RadarAI · aihot.news