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

[41] Shared Control of Robot Manipulators With Obstacle Avoidance: A Deep Reinforcement Learning Approach [J].

Rubagotti, Matteo ;

Sangiovanni, Bianca ;

Nurbayeva, Aigerim ;

Incremona, Gian Paolo ;

Ferrara, Antonella ;

Shintemirov, Almas .

IEEE CONTROL SYSTEMS MAGAZINE, 2023, 43 (01) :44-63

[42] Reinforcement Learning for Mobile Robot Obstacle Avoidance with Deep Deterministic Policy Gradient [J].

Chen, Miao ;

Li, Wenna ;

Fei, Shihan ;

Wei, Yufei ;

Tu, Mingyang ;

Li, Jiangbo .

INTELLIGENT ROBOTICS AND APPLICATIONS (ICIRA 2022), PT III, 2022, 13457 :197-204

[43] Learning Mobile Robot Control for Obstacle Avoidance Based on Motion Energy Neurons [J].

Gao, Minqi ;

Shi, Bertram E. .

ASCC: 2009 7TH ASIAN CONTROL CONFERENCE, VOLS 1-3, 2009, :994-999

[44] Obstacle avoidance planning algorithm for indoor navigation robot based on deep learning [J].

Liu C.-H. ;

Wang S.-C. ;

Zheng C. ;

Chen X.-L. ;

Hao C.-L. .

Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition), 2023, 53 (12) :3558-3564

[45] Dynamic neural learning for obstacle avoidance of humanoid robot performing cooperative tasks [J].

Luo, Yamei ;

Zhang, Mingyang ;

Liu, Yu ;

Lin, Junjie ;

Zhang, Zhijun .

NEUROCOMPUTING, 2025, 633

[46] Obstacle avoidance for a distributed autonomous swimming robot by interaction-based learning [J].

Iijima, D ;

Yu, WW ;

Yokoi, H ;

Kakazu, Y .

FROM ANIMALS TO ANIMATS 6, 2000, :297-306

[47] Mobile robot dynamic obstacle avoidance method based on improved reinforcement learning [J].

Xu J. ;

Shao K. ;

Wang J. ;

Liu X. .

Zhongguo Guanxing Jishu Xuebao/Journal of Chinese Inertial Technology, 2023, 31 (01) :92-99

[48] Online Learning for Obstacle Avoidance [J].

Snyder, David ;

Booker, Meghan ;

Simon, Nathaniel ;

Xia, Wenhan ;

Suo, Daniel ;

Hazan, Elad ;

Majumdar, Anirudha .

CONFERENCE ON ROBOT LEARNING, VOL 229, 2023, 229

[49] Online Learning for Obstacle Avoidance [J].

Snyder, David ;

Booker, Meghan ;

Simon, Nathaniel ;

Xia, Wenhan ;

Suo, Daniel ;

Hazan, Elad ;

Majumdar, Anirudha .

Proceedings of Machine Learning Research, 2023, 229

[50] Obstacle avoidance for a hexapod robot in unknown environment [J].

Xun Chai ;

Feng Gao ;

ChenKun Qi ;

Yang Pan ;

YiLin Xu ;

Yue Zhao .

Science China Technological Sciences, 2017, 60 :818-831

← 1 2 3 4 5 →