Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Baofu Fang"'
Publikováno v:
IEEE Access, Vol 9, Pp 80028-80042 (2021)
Affection is regarded as a new solution to coordinate task allocation problems in the multi-robot system. In this paper, we proposed an interpretable and computational affection model based on willingness and a new personality model named CASE to mea
Externí odkaz:
https://doaj.org/article/215c58c1423c472a8e7b7b0abd518484
Publikováno v:
IEEE Access, Vol 7, Pp 46104-46113 (2019)
Autonomous robotic exploration of an unknown environment is a key technology for robot intelligence. In order to improve the efficiency of it, we propose a strategy based on frontier point optimization and multistep path planning in this paper. In th
Externí odkaz:
https://doaj.org/article/7cce99333d4a4f6ca2546d0b7149c06f
Autor:
Baofu Fang, Zhiqiang Zhan
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 17 (2020)
Visual simultaneous localization and mapping (SLAM) is well-known to be one of the research areas in robotics. There are many challenges in traditional point feature-based approaches, such as insufficient point features, motion jitter, and low locali
Externí odkaz:
https://doaj.org/article/1a2b0b44d6e349a6a566d3605303ddc6
Publikováno v:
Sensors, Vol 22, Iss 3, p 733 (2022)
A new positioning algorithm based on RSS measurement is proposed. The algorithm adopts maximum likelihood estimation and semi-definite programming. The received signal strength model is transformed to a non-convex estimator for the positioning of the
Externí odkaz:
https://doaj.org/article/b066d4a6aa954a2bb165ebe07764e7a4
Publikováno v:
The Scientific World Journal, Vol 2014 (2014)
Multirobot task allocation is a hot issue in the field of robot research. A new emotional model is used with the self-interested robot, which gives a new way to measure self-interested robots’ individual cooperative willingness in the problem of mu
Externí odkaz:
https://doaj.org/article/0216f8c06a7e4fdbba5513db0d242281
Publikováno v:
IEEE Transactions on Fuzzy Systems. 31:511-520
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::650f659b4a744e73051aa09a19bb68f7
https://doi.org/10.1109/tfuzz.2022.3214001
https://doi.org/10.1109/tfuzz.2022.3214001
Publikováno v:
IEEE Access, Vol 9, Pp 80028-80042 (2021)
Affection is regarded as a new solution to coordinate task allocation problems in the multi-robot system. In this paper, we proposed an interpretable and computational affection model based on willingness and a new personality model named CASE to mea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed64e2edfa8a9be84c027614dcefe43d
https://doi.org/10.1109/access.2021.3084044
https://doi.org/10.1109/access.2021.3084044
Autor:
Baofu Fang, Taifeng Guo
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811951930
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::983337d3056078d0ea52ff7de5f831e5
https://doi.org/10.1007/978-981-19-5194-7_13
https://doi.org/10.1007/978-981-19-5194-7_13
Publikováno v:
Sensors; Volume 22; Issue 3; Pages: 733
Sensors, Vol 22, Iss 733, p 733 (2022)
Sensors, Vol 22, Iss 733, p 733 (2022)
A new positioning algorithm based on RSS measurement is proposed. The algorithm adopts maximum likelihood estimation and semi-definite programming. The received signal strength model is transformed to a non-convex estimator for the positioning of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e35d16609cc3492cdeb9834f2226ab6
https://pubmed.ncbi.nlm.nih.gov/35161483
https://pubmed.ncbi.nlm.nih.gov/35161483
Publikováno v:
Signal, Image and Video Processing. 14:639-644
Owning to the impressive performance and high speed of the correlation filter (CF) visual tracking technology, the CF-based tracking gets a significant amount of attentions and obtains a large number of researches. But the traditional CF-based tracke
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c0f796a59397d8edfb99218e192aa67
https://doi.org/10.1007/s11760-019-01594-2
https://doi.org/10.1007/s11760-019-01594-2