Kaijun Luo

Learning to See and Act: Task-Aware Virtual View Exploration for Robotic Manipulation

Recent vision-language-action (VLA) models for multi-task robot manipulation often rely on fixed camera setups and shared visual encoders, which limit their performance under occlusions and during cross-task transfer. To address these challenges, we propose Task-aware Virtual View Exploration (TVVE)