Situated Bayesian Reasoning Framework for Robots Operating in Diverse Everyday Environments

被引:10
作者
Chernova, Sonia [1 ]
Chu, Vivian [1 ]
Daruna, Angel [1 ]
Garrison, Haley [1 ]
Hahn, Meera [1 ]
Khante, Priyanka [2 ]
Liu, Weiyu [1 ]
Thomaz, Andrea [2 ]
机构
[1] Georgia Inst Technol, Inst Robot & Intelligent Machines, Atlanta, GA 30332 USA
[2] Univ Texas Austin, Elect & Comp Engn, Austin, TX 78712 USA
来源
ROBOTICS RESEARCH | 2020年 / 10卷
关键词
D O I
10.1007/978-3-030-28619-4_29
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
引用
收藏
页码:353 / 369
页数:17
相关论文
共 24 条
[1]  
Boteanu A, 2015, AAAI C ART INT, P1
[2]  
Buschka Par., 2004, Proceedings of the 8th International Conference on Intelligent Autonomous Systems, P547
[3]  
Chen J., 2011, P 5 INT JOINT C NAT, P686
[4]  
Deng J, 2009, PROC CVPR IEEE, P248, DOI 10.1109/CVPRW.2009.5206848
[5]  
Fung Robert, 1990, Mach. Intell. Pattern Recognit, V10, P209, DOI DOI 10.1016/B978-0-444-88738-2.50023-3
[6]  
Gabrilovich E, 2007, 20TH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, P1606
[7]  
Jain D, 2009, BAYESIAN LOGIC NETWO, P1
[8]  
Jain D, 2007, LECT NOTES ARTIF INT, V4667, P129
[9]  
Kucera H., 1967, COMPUTATIONAL ANAL P
[10]   CYC - A LARGE-SCALE INVESTMENT IN KNOWLEDGE INFRASTRUCTURE [J].
LENAT, DB .
COMMUNICATIONS OF THE ACM, 1995, 38 (11) :33-38