Learning robot tasks with loops from experiences to enhance robot adaptability-Reference-Cited by-同舟云学术

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Learning robot tasks with loops from experiences to enhance robot adaptability

Published:2017-11 Issue: Volume:99 Page:57-66
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Mokhtari Vahid,Seabra Lopes Luís,Pinho Armando J.

Funder

Portuguese Foundation for Science and Technology

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference31 articles.

1. Automated Planning: Theory & Practice;Ghallab,2004

2. Experience-based planning domains: an integrated learning and deliberation approach for intelligent robots;Mokhtari;J. Intell. Robot. Syst.,2016

3. Experience-based robot task learning and planning with goal inference;Mokhtari,2016

4. Towards supervised acquisition of robot activity experiences: an ontology-based approach;Chauhan,2013

5. Gathering and conceptualizing plan-based robot activity experiences;Mokhtari,2016

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Adaptive and intelligent robot task planning for home service: A review;Engineering Applications of Artificial Intelligence;2023-01

2. Learning the Scope of Applicability for Task Planning Knowledge in Experience-Based Planning Domains;2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2019-11

3. Special issue on user profiling and behavior adaptation for human-robot interaction;Pattern Recognition Letters;2017-11

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