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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
DOI
发表期刊
ISSN
0921-0296
EISSN
1573-0409
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
SCI ; EI
语种
英语
学校署名
通讯
资助项目
Hong Kong ITC ITSP Tier 2 grant[ITS/105/18FP]
WOS研究方向
Computer Science ; Robotics
WOS类目
Computer Science, Artificial Intelligence ; Robotics
WOS记录号
WOS:000619104600001
出版者
EI入藏号
20210809974588
EI主题词
Agricultural robots ; Robots
EI分类号
Robotics:731.5 ; Accidents and Accident Prevention:914.1
ESI学科分类
ENGINEERING
来源库
Web of Science
引用统计
被引频次[WOS]:12
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).
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).
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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