Emanuele Musumeci

Context Matters! Relaxing Goals with LLMs for Feasible 3D Scene Planning

Embodied agents need to plan and act reliably in real and complex 3D environments. Classical planning (e.g., PDDL) offers structure and guarantees, but in practice it fails under noisy perception and incorrect predicate grounding. On the other hand, Large Language Models (LLMs)-based planners levera…