FocusVLA: A VLA Model with Future-Intent-Guided Dynamic View Routing

FocusVLA proposes a stage-aware multi-view routing framework that predicts future interaction intent from historical actions and uses it to dynamically coordinate global and local views during action generation. On RoboTwin 2.0, its average success rate improves by 10.10 percentage points over the strongest baseline, π_{0.5}; in real-world evaluation, the success rate rises from 71.7% to 85.0%. The framework's intent prediction and dynamic routing modules can be integrated into existing VLA frameworks without modifying the core architecture.