{
  "id": 1152,
  "url": "https://arxiv.org/abs/2606.12207v1",
  "title": "Intelligent Automation for Embodied Benchmark Construction: Pipelines, Embodiments, Simulators, and Trends",
  "summary": "Embodied intelligence now spans navigation, household assistance, manipulation, autonomous driving, aerial agents, and multimodal large-model control. This expansion has made benchmark construction a central bottleneck for reliable evaluation. Unlike static datasets, embodied benchmarks combine task specifications, environments, robot data, demonstrations, annotations, metrics, evaluation scripts, and release policies into a single evaluation system. This survey reviews the literature through a ",
  "authors": "Jinshan Lai, Jianwei Hu, Baoyang Jiang, Fengchun Zhang, Leyuan Wang, Haotian Li et al.",
  "category": "research",
  "topics": "jobs-economy,agents-autonomy,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-06-10T15:25:02.000Z",
  "fetched_at": "2026-07-14T14:15:03.616Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/1152",
  "original_url": "https://arxiv.org/abs/2606.12207v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}