PerceptTwin: Semantic Scene Reconstruction for Iterative LLM Planning and Verification

ArXi:2606.04226v1 Announce Type: cross Simulation environments are useful for both robot policy learning and planning verification and validation. Traditionally, the process of creating a simulation was onerous. Creating a bespoke simulation environment for each individual environment that a robot would operate in was simply infeasible. In this work, we