{
  "id": 3014,
  "url": "https://arxiv.org/abs/2607.11570v1",
  "title": "ERR@HRI 3.0 Challenge: Multimodal Detection of Errors and Anticipation in Human-Robot Interactions",
  "summary": "As robots become increasingly integrated into human environments, their ability to detect and respond to errors remains critical for maintaining user trust and interaction quality. While recent advances in machine learning have improved error detection capabilities, most approaches are limited to specific contexts, controlled settings, or pre-extracted features, limiting their generalizability and applicability to real-world conditions. To address this challenge, the third edition of the ERR@HRI",
  "authors": "Maria Teresa Parreira, Micol Spitale, Maia Stiber, Shiye Cao, Amama Mahmood, Chien-Ming Huang, Hatice Gunes, Wendy Ju",
  "category": "research",
  "topics": "agents-autonomy,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-13T13:50:43.000Z",
  "fetched_at": "2026-07-14T16:11:46.979Z",
  "source_slug": "x-arxiv-cs-hc",
  "source_name": "arXiv cs.HC",
  "source_homepage": "https://arxiv.org/list/cs.HC/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/3014",
  "original_url": "https://arxiv.org/abs/2607.11570v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}