Navigating the Crowd: Non-linear MPC with Social Forces Dynamics for Human-Aware Robot Navigation
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
Record details
Published: 11 July 2026
Source: arXiv cs.HC
Category: Research
Topics: Agents & autonomy · Environment
Retrieved: 14 July 2026
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ethics.ai (11 July 2026), “Navigating the Crowd: Non-linear MPC with Social Forces Dynamics for Human-Aware Robot Navigation,” evidence record 3050, https://ethics.ai/record/3050 (originally published by arXiv cs.HC).
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