Learning and Planning Based on Merged Experience from Multiple Situations for a Service Robot

Learning and Planning Based on Merged Experience from Multiple Situations for a Service Robot

For a service robot, learning appropriate behaviours to acquire task knowledge and deliberation in various situations is essential, but the existing methods do not support merging the plan-based activity experiences from multiple situations in the same task. In this paper, an abstract method is intr...

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Bibliographic Details
Main Authors: Zhixian Chen, Baoliang Zhao, Shijia Zhao, Ying Hu, Jianwei Zhang
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Applied Sciences
Subjects:
task knowledge
activity schema
HTN planning
experiences merging
abstract method
Online Access:http://www.mdpi.com/2076-3417/8/10/1832

Internet

http://www.mdpi.com/2076-3417/8/10/1832

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