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Bench2Dex is meant as a platform for studying visuo-tactile learning across dexterous hands and offers a shared setting for algorithm development while tactile hardware and simulation models are still evolving.
EEG-PRIME achieves zero-shot transfer capabilities in EEG decoding, outperforming traditional models without the need for domain-specific calibration.
Bridging the gap between human and robotic manipulation, HandEdit enables scalable learning for dexterous robotics using abundant egocentric video data.
