Jiayu Wang, Yue Yu, Bin Zhu, Zhiyao Yang, Jingjing Chen
SpatialHarness enhances fine robotic manipulation by dynamically generating virtual camera views at test time to improve spatial awareness without modifying the robot's sensors or policy. It maintains a synchronized simulation of the real environment and uses interaction-aware updates to preserve alignment during tasks. This approach enables a frozen multimodal foundation model to achieve high success rates on challenging manipulation tasks.
Many advanced AI models struggle with fine manipulation due to limited spatial perception, even when they possess strong reasoning capabilities. SpatialHarness offers a practical, non-invasive way to boost performance by improving observability, making powerful models usable for delicate real-world tasks without retraining or hardware changes.
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