Guest Editorial Special Issue on Artificial Intelligence for Autonomous Unmanned System Applications

Hongbo Gao; Ming Liu; Fei Chen; Xiaoxiang Na; Ding Zhao; Jingtao Wang; Linghe Kong; Keqiang Li; Chun-Yi Sun

doi:10.1109/tase.2022.3208458

Guest Editorial Special Issue on Artificial Intelligence for Autonomous Unmanned System Applications

Hongbo Gao
, Ming Liu
, Fei Chen
, Xiaoxiang Na
, Ding Zhao
, Jingtao Wang
, Linghe Kong
, Keqiang Li
, Chun-Yi Sun

Research output: Contribution to journal › Editorial › peer-review

Abstract

This special issue of the IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (T-ASE) focuses on how the state-of-the-art achievements and applications in the general area of artificial intelligence in automation for autonomous unmanned systems applications. As Guest Editors, we are very pleased to present the selected 16 articles, whose topics are specifically related to artificial intelligence real-time object detection, recognition, localization, control optimization, motion planning, formation control, adaptive control, and autonomous decision-making.

Original language	English
Pages (from-to)	2652 - 2655
Number of pages	4
Journal	IEEE Transactions on Automation Science and Engineering
Volume	19
Issue number	4
DOIs	https://doi.org/10.1109/tase.2022.3208458
Publication status	Published - 13 Oct 2022
Externally published	Yes

Access to Document

10.1109/tase.2022.3208458Licence: Unspecified

Cite this

@article{716cd3481d544a11804188ae755418fd,

title = "Guest Editorial Special Issue on Artificial Intelligence for Autonomous Unmanned System Applications",

abstract = "This special issue of the IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (T-ASE) focuses on how the state-of-the-art achievements and applications in the general area of artificial intelligence in automation for autonomous unmanned systems applications. As Guest Editors, we are very pleased to present the selected 16 articles, whose topics are specifically related to artificial intelligence real-time object detection, recognition, localization, control optimization, motion planning, formation control, adaptive control, and autonomous decision-making.",

author = "Hongbo Gao and Ming Liu and Fei Chen and Xiaoxiang Na and Ding Zhao and Jingtao Wang and Linghe Kong and Keqiang Li and Chun-Yi Sun",

year = "2022",

month = oct,

day = "13",

doi = "10.1109/tase.2022.3208458",

language = "English",

volume = "19",

pages = "2652 -- 2655",

journal = "IEEE Transactions on Automation Science and Engineering",

issn = "1545-5955",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "4",

}

TY - JOUR

T1 - Guest Editorial Special Issue on Artificial Intelligence for Autonomous Unmanned System Applications

AU - Gao, Hongbo

AU - Liu, Ming

AU - Chen, Fei

AU - Na, Xiaoxiang

AU - Zhao, Ding

AU - Wang, Jingtao

AU - Kong, Linghe

AU - Li, Keqiang

AU - Sun, Chun-Yi

PY - 2022/10/13

Y1 - 2022/10/13

N2 - This special issue of the IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (T-ASE) focuses on how the state-of-the-art achievements and applications in the general area of artificial intelligence in automation for autonomous unmanned systems applications. As Guest Editors, we are very pleased to present the selected 16 articles, whose topics are specifically related to artificial intelligence real-time object detection, recognition, localization, control optimization, motion planning, formation control, adaptive control, and autonomous decision-making.

AB - This special issue of the IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (T-ASE) focuses on how the state-of-the-art achievements and applications in the general area of artificial intelligence in automation for autonomous unmanned systems applications. As Guest Editors, we are very pleased to present the selected 16 articles, whose topics are specifically related to artificial intelligence real-time object detection, recognition, localization, control optimization, motion planning, formation control, adaptive control, and autonomous decision-making.

U2 - 10.1109/tase.2022.3208458

DO - 10.1109/tase.2022.3208458

M3 - Editorial

SN - 1545-5955

VL - 19

SP - 2652

EP - 2655

JO - IEEE Transactions on Automation Science and Engineering

JF - IEEE Transactions on Automation Science and Engineering

IS - 4

ER -

Guest Editorial Special Issue on Artificial Intelligence for Autonomous Unmanned System Applications

Abstract

Access to Document

Fingerprint

Cite this