viewpoint imagination

New Benchmark and Method Address Occlusion in Vision-Language-Action Models for Robotics

Researchers introduced LIBERO-Occ, an occlusion-oriented benchmark for Vision-Language-Action (VLA) models, and proposed Viewpoint Imagination (VIM), a method that generates a complementary view from an occluded primary observation to condition action prediction. Experiments show that state-of-the-art VLAs suffer substantial performance degradation under occlusion, and VIM improves robustness across task suites, occlusion types, and severity levels without requiring additional cameras at deployment.