{
  "id": 13642,
  "url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1812386",
  "title": "Crowd navigation in a multi-room environment: a model predictive control framework for mobile robots",
  "summary": "Mobile robots operating in human-populated environments must navigate complex, multi-room spaces while ensuring safety, i.e., generating collision-free motion. In this study, we present a sensor-based model predictive control (MPC) scheme designed for safe crowd navigation in such non-convex environments. The proposed framework decomposes the free space into a set of overlapping convex regions to construct a topological graph, enabling a high-level planner to compute optimal sequences of travers",
  "authors": "Giovanbattista Gravina",
  "category": "research",
  "topics": "agents-autonomy,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-27T00:00:00.000Z",
  "fetched_at": "2026-07-27T05:10:06.638Z",
  "source_slug": "x-frontiers-in-robotics-and-ai",
  "source_name": "Frontiers in Robotics and AI",
  "source_homepage": "https://www.frontiersin.org/journals/robotics-and-ai",
  "ethics_ai_record_url": "https://ethics.ai/record/13642",
  "original_url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1812386",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}