Conditional Generative Adversarial Networks for Optimal Path Planning

Ma，Nachuan1; Wang，Jiankun2; Liu，Jianbang3; Meng，Max Q.H.4

2022-06

10.1109/TCDS.2021.3063273

IEEE Transactions on Cognitive and Developmental Systems   影响因子和分区

2379-8939

Conditional Generative Adversarial Networks (CGANs) Optimal Path Planning Sampling-based Path Planning

SCI ; EI

英语

第一 ; 共同第一

20211110073409

Learning Systems ; Probability Distributions ; Robot Programming

Computer Programming:723.1 ; Probability Theory:922.1

IEEE

正式出版

1.Department of Electronic and Electrical Engineering of the Southern University of Science and Technology in Shenzhen, China. (e-mail: manc@mail.sustech.edu.cn)
2.Department of Electronic and Electrical Engineering of the Southern University of Science and Technology in Shenzhen, China.
3.Department of Electronic Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, China.
4.Department of Electronic and Electrical Engineering of the Southern University of Science and Technology in Shenzhen, China, on leave from the Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, and also with the Shenzhen Research Institute of the Chinese University of Hong Kong in Shenzhen, China.

Ma，Nachuan,Wang，Jiankun,Liu，Jianbang,et al. Conditional Generative Adversarial Networks for Optimal Path Planning[J]. IEEE Transactions on Cognitive and Developmental Systems,2022,14(2):662-671.

Ma，Nachuan,Wang，Jiankun,Liu，Jianbang,&Meng，Max Q.H..(2022).Conditional Generative Adversarial Networks for Optimal Path Planning.IEEE Transactions on Cognitive and Developmental Systems,14(2),662-671.

Ma，Nachuan,et al."Conditional Generative Adversarial Networks for Optimal Path Planning".IEEE Transactions on Cognitive and Developmental Systems 14.2(2022):662-671.