Confidence-Aware Autonomous Knowledge Graph Evolution for Lifelong Robotic TAMP Systems
Neuro-symbolic Task and Motion Planning (TAMP) architectures anchor Large Language Model (LLM) reasoning within a Knowledge Graph (KG) K to eliminate plan-level hallucinations, but letting K evolve autonomously across missions risks contaminating it with confidently-wrong facts that both the planner and the perception...