Obstacle avoidance learning for biomimetic robot fish

被引：1

作者：

Shen, Zhizhong ^{[1
]}

Tan, Min ^{[1
]}

Cao, Zhiqiang ^{[1
]}

Wang, Shuo ^{[1
]}

Hou, Zengguang ^{[1
]}

机构：

[1] Chinese Acad Sci, Inst Automat, Lab Complex Syst & Intelligence Sci, Beijing 100080, Peoples R China

来源：

APPLIED ARTIFICIAL INTELLIGENCE | 2006年

关键词：

D O I：

10.1142/9789812774118_0101

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Biomimetic robot fish can play an important role in underwater object reconnaissance and tracking. In order to fulfill more complex tasks, the capability of obstacle avoidance is an indispensable one for robot fish. The design of biomimetic robot fish with multiple ultrasonic and infrared sensors is presented in the paper. An obstacle avoidance strategy based on the reinforcement learning is proposed. State-behavior pairs are obtained. Computer simulation shows the validity of the learning results.

引用

页码：719 / +

页数：2

共 50 条

[31] Object Recognition and Obstacle Avoidance Robot [J].

Balasubramanian, Karthi ;

Arunkumar, R. ;

Jayachandran, Jinu ;

Jayapal, Vishnu ;

Chundatt, Bibin A. ;

Freeman, Joshua D. .

CCDC 2009: 21ST CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, PROCEEDINGS, 2009, :3002-3006

[32] Cleaning robot obstacle avoidance problem [J].

Feng, Daoming ;

Wei, Lianbang ;

Yu, Guangwei .

PROCEEDINGS OF 2016 IEEE ADVANCED INFORMATION MANAGEMENT, COMMUNICATES, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IMCEC 2016), 2016, :1542-1546

[33] Mobile Robot Obstacle Avoidance Techniques [J].

Reyaz, Aamir ;

Baasandorj, Bayanjargal ;

Park, Sung Ho ;

Lee, Deok Jin ;

Chong, Kil To .

ADVANCED SCIENCE LETTERS, 2014, 20 (10-12) :1927-1931

[34] Obstacle Avoidance of Mobile Robot using Fuzzy Logic and Hybrid Obstacle Avoidance Algorithm [J].

Singh, R. ;

Bera, T. K. .

2ND INTERNATIONAL CONFERENCE ON ROBOTICS AND MECHANTRONICS, 2019, 517

[35] A Task of Miniature Mobile Robot Learning for Obstacle Avoidance through Neural Networks [J].

Zhang, Jin Xue ;

Pan, Hai Zhu .

NEW TRENDS IN MECHATRONICS AND MATERIALS ENGINEERING, 2012, 151 :498-+

[36] Learning-Based Multi-Robot Formation Control With Obstacle Avoidance [J].

Bai, Chengchao ;

Yan, Peng ;

Pan, Wei ;

Guo, Jifeng .

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23 (08) :11811-11822

[37] A Biomimetic Robotic Fish Path Planning Method Based on Dynamic Obstacle-avoidance Risk Region [J].

Li, Zonggang ;

Wang, Zhiping ;

Xia, Guangqing ;

Kang, Huifeng .

Jiqiren/Robot, 2024, 46 (04) :488-502

[38] Reinforcement learning neural network to the problem of autonomous mobile robot obstacle avoidance [J].

Huang, BQ ;

Cao, GY ;

Guo, M .

PROCEEDINGS OF 2005 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-9, 2005, :85-89

[39] Obstacle avoidance learning for a multi-agent linked robot in the real world [J].

Iijima, D ;

Yu, WW ;

Yokoi, H ;

Kakazu, Y .

2001 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS I-IV, PROCEEDINGS, 2001, :523-528

[40] Interactive learning approach for robot obstacle avoidance based on DP-KMP [J].

Xiao, Sa ;

Lyu, Yongming ;

Wu, Haibin .

Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument, 2024, 45 (11) :65-78

← 1 2 3 4 5 →