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most citedLeveraging Pretrained Latent Representations for Few-Shot Imitation Learning on a Dexterous Robotic Hand

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cs.RO2024

VQ-ACE: Efficient Policy Search for Dexterous Robotic Manipulation via Action Chunking Embedding

Chenyu Yang, Davide Liconti, Robert K. Katzschmann

Dexterous robotic manipulation remains a significant challenge due to the high dimensionality and complexity of hand movements required for tasks like in-hand manipulation and obje…

cs.RO2024★ 1 cited

Leveraging Pretrained Latent Representations for Few-Shot Imitation Learning on a Dexterous Robotic Hand

Davide Liconti, Yasunori Toshimitsu, Robert Katzschmann

In the context of imitation learning applied to dexterous robotic hands, the high complexity of the systems makes learning complex manipulation tasks challenging. However, the nume…