Hierarchical Task-Parameterized Learning from Demonstration for Collaborative Object Movement
Learning from demonstration (LfD) enables a robot to emulate natural human movement instead of merely executing preprogrammed behaviors. This article presents a hierarchical LfD structure of task-parameterized models for object movement tasks, which are ubiquitous in everyday life and could benefit...
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Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2019-01-01
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Series: | Applied Bionics and Biomechanics |
Online Access: | http://dx.doi.org/10.1155/2019/9765383 |
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