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Northeastern University
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AMP achieves millimeter-level precision in 3D manipulation by transforming action learning into a pixel classification challenge, drastically improving inference speed and success rates.
World models can stealthily introduce data poisoning vulnerabilities that lead to unsafe robotic behaviors, even when trained on safe datasets.
