TACROSS: An Efficient and Low-Cost Scalable Human Touch System Across Heterogeneous Tactile Sensors for Dexterous Robot Learning

TACROSS creates an efficient, low-cost system to learn from human touch and transfer that knowledge to robots using heterogeneous tactile sensors. It aligns raw sensor data by mapping them to a shared 256-dimensional latent space based on contact events, enabling robust policy learning from robot demonstrations.

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