Hybrid Imitation Learning Framework for Robotic Manipulation Tasks
This study proposes a novel hybrid imitation learning (HIL) framework in which behavior cloning (BC) and state cloning (SC) methods are combined in a mutually complementary manner to enhance the efficiency of robotic manipulation task learning. The proposed HIL framework efficiently combines BC and...
Main Authors: | Eunjin Jung, Incheol Kim |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-05-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/21/10/3409 |
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