题名 | Risk-Aware Path Planning Under Uncertainty in Dynamic Environments |
作者 | |
通讯作者 | Meng, Max Q-H |
发表日期 | 2021-03-01
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DOI | |
发表期刊 | |
ISSN | 0921-0296
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EISSN | 1573-0409
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卷号 | 101期号:3 |
摘要 | This study develops a novel sampling-based path planning approach, simultaneously achieving uncertainty reduction of localization and avoidance of dynamic obstacles. The proposed path planner can generate a set of path primitives and the path selection takes into account the localization uncertainty, the collision-risk, and the cost-to-go to the target area. The weights of these quantities for selecting an optimal path are tuned adaptively by using the entropy weight method. In the process of path primitive generation, we propose an adaptive planning horizon scheme that can generate a longer path with lower localization uncertainty. Particularly, to further reduce the localization uncertainty of the path primitive, we propose a sampling strategy that is capable of biasing the sampling points to the information-rich areas. To reduce the collision-risk, we propose to calculate the probability of collision by taking the uncertainty of both the robot and the dynamic objects into consideration. The proposed approach and its key components are verified in extensive experiments in both simulation and real-world environments. The proposed method is demonstrated to be capable of efficiently guiding the robot to the designated location with lower localization uncertainty and higher success rate in obstacle avoidance. |
关键词 | |
相关链接 | [来源记录] |
收录类别 | |
语种 | 英语
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学校署名 | 通讯
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资助项目 | Hong Kong ITC ITSP Tier 2 grant[ITS/105/18FP]
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WOS研究方向 | Computer Science
; Robotics
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WOS类目 | Computer Science, Artificial Intelligence
; Robotics
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WOS记录号 | WOS:000619104600001
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出版者 | |
EI入藏号 | 20210809974588
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EI主题词 | Agricultural robots
; Robots
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EI分类号 | Robotics:731.5
; Accidents and Accident Prevention:914.1
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ESI学科分类 | ENGINEERING
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来源库 | Web of Science
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引用统计 |
被引频次[WOS]:12
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成果类型 | 期刊论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/221322 |
专题 | 南方科技大学 工学院_电子与电气工程系 |
作者单位 | 1.Chinese Univ Hong Kong, Dept Elect Engn, Hong Kong, Peoples R China 2.Harbin Inst Technol, Sch Mech Engn & Automat, Shenzhen, Peoples R China 3.Shandong Univ, Sch Control Sci & Engn, Jinan, Shandong, Peoples R China 4.Southern Univ Sci & Technol, Shenzhen Key Lab Robot Percept & Intelligence, Shenzhen, Peoples R China |
通讯作者单位 | 南方科技大学 |
推荐引用方式 GB/T 7714 |
Cai, Kuanqi,Wang, Chaoqun,Song, Shuang,et al. Risk-Aware Path Planning Under Uncertainty in Dynamic Environments[J]. JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS,2021,101(3).
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APA |
Cai, Kuanqi,Wang, Chaoqun,Song, Shuang,Chen, Haoyao,&Meng, Max Q-H.(2021).Risk-Aware Path Planning Under Uncertainty in Dynamic Environments.JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS,101(3).
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MLA |
Cai, Kuanqi,et al."Risk-Aware Path Planning Under Uncertainty in Dynamic Environments".JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS 101.3(2021).
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条目包含的文件 | 条目无相关文件。 |
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