Adaptive Multi-Task Human-Robot Interaction Based on Human Behavioral Intention

Adaptive Multi-Task Human-Robot Interaction Based on Human Behavioral Intention

Learning from demonstrations with Probabilistic Movement Primitives (ProMPs) has been widely used in robot skill learning, especially in human-robot collaboration. Although ProMP has been extended to multi-task situations inspired by the Gaussian mixture model, it still treats each task independentl...

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Bibliographic Details
Main Authors: Jian Fu, Jinyu Du, Xiang Teng, Yuxiang Fu, Lu Wu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Human robot interaction
motion planning
MTProMP
MTiProMP
alternate learning
decomposition strategy
Online Access:https://ieeexplore.ieee.org/document/9548924/

Internet

https://ieeexplore.ieee.org/document/9548924/

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