{
  "id": 3050,
  "url": "https://arxiv.org/abs/2607.10374v1",
  "title": "Navigating the Crowd: Non-linear MPC with Social Forces Dynamics for Human-Aware Robot Navigation",
  "summary": "Safe and socially compliant navigation remains a fundamental challenge for autonomous robots operating in human-populated environments. Beyond collision avoidance, robots must anticipate human motion and respect personal space to ensure human comfort. Model Predictive Control (MPC) offers a robust alternative to classical and data-driven methods, although its effectiveness strongly depends on accurate human motion prediction and efficient computation. This paper introduces SFM-NMPC, a Social For",
  "authors": "Stefano Trepella, Andrea Ostuni, Mauro Martini, Pablo Pueyo, Noé Pérez-Higueras, Marcello Chiaberge, Fernando Caballero, Luis Merino",
  "category": "research",
  "topics": "agents-autonomy,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-11T15:57:33.000Z",
  "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/3050",
  "original_url": "https://arxiv.org/abs/2607.10374v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}