MIND: Instruction-Conditioned Incremental Grounding for Robots
From the abstract
Robots following persistent language instructions must decide which cached room judgments remain valid as their environment changes. We present MIND (Maintenance via INstruction-conditioned Dependencies), a framework for maintaining target-room decisions without re-evaluating every room after each event.
From the abstract. Our summary is in progress.