| 时态规划综述及研究现状 |
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| 引用本文： | 饶东宁,杨锦鹏,刘越畅.时态规划综述及研究现状[J].广东工业大学学报,2021,38(3):9-16. |
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| 作者姓名： | 饶东宁 杨锦鹏 刘越畅 |
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| 作者单位： | 1. 广东工业大学 计算机学院，广东 广州 510006;2. 嘉应学院 计算机学院，广东 梅州 514015 |
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| 基金项目： | 广东省自然科学基金资助项目(2016A030313700，2016A030313084) |
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| 摘 要： | 作为人工智能领域的一个重要分支, 智能规划被广泛应用于机器人、工业生产、商业应用等领域。时态规划是智能规划的前沿子领域。本文从时态特征、规划方法、应用等三个角度出发, 对时态规划进行综述。与规划能力相比, 时态特征的发展已足够成熟; 基于启发式的状态空间搜索是目前的最佳选择; 研究人员仍在寻找更多更好的应用场景。本文旨在用通俗易懂的方式帮助入门学者快速认识时态规划。
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| 关 键 词： | 人工智能 智能规划 时态规划 |
| 收稿时间： | 2020-09-28 |
A Survey of Temporal Planning |
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| Rao Dong-ning,Yang Jin-peng,Liu Yue-chang.A Survey of Temporal Planning[J].Journal of Guangdong University of Technology,2021,38(3):9-16. |
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| Authors: | Rao Dong-ning Yang Jin-peng Liu Yue-chang |
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| Affiliation: | 1. School of Computers, Guangdong University of Technology, Guangzhou 510006, China;2. School of Computer Science, Jiaying University, Meizhou 514015, China |
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| Abstract: | Automated planning is an important branch of artificial intelligence, which can be widely used in robot, industrial production, and commercial fields. A review is conducted on the temporal planning, which is a frontier and sub-area of automated planning, from three aspects: 1) temporal feature; 2) planning method; 3) applications. The conclusions are: 1) comparing with planning ability, the community has proposed sufficient temporal features; 2) for the time being, state space forward searching based on heuristics is our best choice; 3) researchers are still looking for more and better applications. This survey aims to provide basic concepts for students who are interested in temporal planning. |
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| Keywords: | artificial intelligence automated planning temporal planning |
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