专注收录全球具身智能数据集，助力算法研发
标注 7 大 VLA 框架（π0 / OpenVLA / GR00T / Octo / RT-2 / RDT-1B / ACT），直接知道哪些数据集可用于训练
不知道用哪个数据集？描述任务+机器人+模态，打分推荐 Top 8 + 匹配理由
自然语言对话式搜索，对比分析多个数据集，引用来源链接
覆盖 77 家机构、8 种机器人、18 种任务类型，全球最全中文具身智能数据集导航
机器人类型 / 任务 / 模态 / VLA / 开放程度精确筛选 + 多选横向对比
RLDS / LeRobot / OXE-Schema 等行业标准 + LIBERO / CALVIN / VLABench 等评测基准
从零搭建 VLA 仿真项目、数据集格式全景对比、行业趋势深度分析
Most embodied AI projects fail to land because teams fixate on model sophistication while neglecting data pipelines and robot hardware. This article proposes a four-step methodology: define hardware and task boundaries first, build data pipelines before large models, prioritize iterability over architectural elegance, and replace demo success rates with closed-loop metrics.
Galaxy General Robot unveils AstraBrain-WBC 0.5, the world's first humanoid 'cerebellum' GPT base model, with 2B frames of human motion data, 80.4M parameters, GPT-style causal Transformer, and 92.58% zero-shot generalization success rate — the first Scaling Law validation in humanoid motion control.
On June 16, Alibaba officially launched the Qwen-Robot series — the first complete embodied AI model matrix. Three core models (Manip, Nav, World) provide a universal foundation for robot manipulation, navigation, and environment understanding.
