
A hierarchical deep learning framework that efficiently estimates the teleoperator's intentions at both low-level actions and high-level tasks, leveraging multi-scale hierarchical information to improve overall prediction accuracy and early intention identification.


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hierarchical-deep-learning-for-efficient-intention-estimation-in-teleoperation-manipulation-of-assembly-tasks


Hierarchical Deep Learning for Efficient Intention Estimation in Teleoperation Manipulation of Assembly Tasks


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Large text-pretrained Transformers can effectively act as efficient in-context imitation learning machines for robotics, without the need for any additional training on robotics data.


efficient-in-context-imitation-learning-for-robotics-using-keypoint-action-tokens-and-large-language-models


Efficient In-Context Imitation Learning for Robotics using Keypoint Action Tokens and Large Language Models
