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Harbin Institute of Technology, Shenzhen Loop Area Institute
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Mamba strikes again, enabling VLA models to learn more robust manipulation policies that generalize better to real-world scenarios and require less training data.
Robotic manipulation gets a serious upgrade: ConsisVLA-4D boosts performance by up to 41.5% and speeds up inference by 2.4x, all while ensuring your robot understands the scene in 3D *and* how it changes over time.
