Yunan Xiang

NAC: Neural Action Codec for Vision-Language-Action Models

The Neural Action Codec is introduced, which treats short robot action trajectories as multi-channel 1D signals and compresses them using a multi-scale RVQGAN architecture and achieves high reconstruction fidelity and higher average success rates than binning, FAST, and prior VQ-based tokenizers at comparable or better...