Unmanned rescue vehicle navigation with fused DQN algorithm

Author:

Cao Wenguan1,Huang Xiaoci1,Shu Fanglin1

Affiliation:

1. School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai, China

Publisher

ACM Press

Reference24 articles.

1. T. Ort, L. Paull and D. Rus, (2018). Autonomous Vehicle Navigation in Rural Environments Without Detailed Prior Maps, IEEE International Conference on Robotics and Automation (ICRA), 2040--2047.

2. ZHANG F, LEITNER J, et al,(2015). Towards vision-based deep reinforcement learning for robotic motion control, Australasian Conference on Robotics and Automation, Washington D.C, AIAA.

3. LIU H, LIANG B, WANG X, et al, (2015). Autonomous path planning and experiment study of free-floating space robot for spinning satellite capturing, II International Conference on Control Automation Robotics and Vision, New York, IEEE.303--331.

4. DONG G, ZHU Z H,(2016).Incremental inverse kinematics based vision servo for autonomous robotic capture of noncooperative space debris, Advance in Space Reasearch, 1508--1514.

5. HU X, HUANG X, HU T, et al,(2018). A minimal dataset construction method based on similar training for capture position recognition of space robot, Wireless Personal Communications.

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