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Shanghai Innovation Institute, Southern University of Science and Technology
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SyVLA achieves unprecedented task success rates and generalization in real-world robotic applications by effectively decoupling intention from control.
WLA models can learn complex tasks from egocentric videos without requiring action annotations, achieving unprecedented success rates in multi-task learning.
