FEP-Nav: Free-Energy-Inspired Real-Time Adaptation for Robust Visual Navigation

Jul 15, 2026

Researchers have introduced FEP-Nav, a biologically inspired framework for real-time perceptual adaptation in visual navigation. Drawing on the Free Energy Principle, FEP-Nav reduces prediction error and Bayesian surprise during inference without requiring gradient updates, enabling robust navigation under visual corruptions. Experiments demonstrate that FEP-Nav restores performance lost to visual corruption and outperforms both non-adaptive and strong adaptive baselines in simulated and real-world settings.

Why it matters: This work shows that variational principles can inform the design of robust autonomous navigation systems capable of adapting to degraded sensory input, with implications for robotics and autonomous vehicles.

Full story at: arXiv Robotics ↗