{
  "id": 10914,
  "url": "https://arxiv.org/abs/2607.13624v1",
  "title": "From Language to Navigation Goals: A Vision-Language Approach for Semantic Navigation of Mobile Robots Using RGB-D Perception",
  "summary": "Natural language interaction provides an intuitive way for non-expert users to communicate with robotic platforms. However, transforming user requests into executable navigation actions remains a challenging task, requiring the integration of language understanding, environment perception, and autonomous navigation. This work presents a language-driven navigation framework that enables mobile robots to interpret user requests in natural language to move the robot to a destination and autonomousl",
  "authors": "Jose Martínez-Fajardo, Pablo Pueyo, Fernando Caballero, Luis Merino",
  "category": "research",
  "topics": "agents-autonomy,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-15T09:15:21.000Z",
  "fetched_at": "2026-07-16T05:10:56.605Z",
  "source_slug": "x-arxiv-cs-ai",
  "source_name": "arXiv cs.AI",
  "source_homepage": "https://arxiv.org/list/cs.AI/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/10914",
  "original_url": "https://arxiv.org/abs/2607.13624v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}