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Realistic human-object interactions in complex 3D scenes are now achievable by decoupling scene feasibility from motion synthesis, leveraging separate supervision signals.
Imagine-TAMP is introduced, an interleaved planning and execution framework that uses semantic and geometric imagination to compare alternative task-level strategies under partial observability before committing to expensive motion planning and experiments show that imagination-guided evaluation improves observation-versus-manipulation decisions.
