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Found 2 papers, 1 papers with code
O2A: One-shot Observational learning with Action vectors
The distance between the action vectors from the observed third-person demonstration and trial robot executions is used as a reward for reinforcement learning of the demonstrated task.
ViTac: Feature Sharing between Vision and Tactile Sensing for Cloth Texture Recognition
In this paper, addressing for the first time (to the best of our knowledge) texture recognition from tactile images and vision, we propose a new fusion method named Deep Maximum Covariance Analysis (DMCA) to learn a joint latent space for sharing features through vision and tactile sensing.
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