CAUSALNAV: A Long-Term Embodied Navigation System for Autonomous Mobile Robots in Dynamic Outdoor Scenarios
Autonomous language-guided navigation in large-scale outdoor environments remains a key challenge in mobile robotics, due to difficulties in semantic reasoning, dynamic conditions, and long-term stability. We propose CausalNav, the first scene graph-based semantic navigation framework tailored for d