登录
洞察 - Robotics, Machine Learning
Hierarchical Deep Learning for Efficient Intention Estimation in Teleoperation Manipulation of Assembly Tasks
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.
Efficient In-Context Imitation Learning for Robotics using Keypoint Action Tokens and Large Language Models
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.
