Path Planning Algorithm Based on A_star Algorithm and Q-Learning Algorithm-Reference-Cited by-同舟云学术

Path Planning Algorithm Based on A_star Algorithm and Q-Learning Algorithm

Published:2023 Issue: Volume: Page:148-157
ISSN:0302-9743
Container-title:Machine Learning for Cyber Security
language:
Short-container-title:

Author:

Zhao Xiaodong^ORCID,Cao Mengying^ORCID,Su Jingfang^ORCID,Zhao Yijin^ORCID,Liu Shuying^ORCID,Yu Pingping^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-20102-8_12

Reference19 articles.

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2. Zi, B., Lin, J., Qian, S.: Localization, obstacle avoidance planning and control of a cooperative cable parallel robot for multiple mobile cranes. Robot. Comput. Integr. Manufact. 34, 105–123 (2015)

3. Osmankovic, D., Tahirovic, A., Magnani, G.: All terrain vehicle path planning based on D* lite and MPC based planning paradigm in discrete space. In: 2017 IEEE International Conference on Advanced Intelligent Mechatronics (AIM), pp. 334–339. Munich, Germany (2017)

4. Liang, C.L., Zhang, X.K., Han, X.: Route planning and track keeping control for ships based on the leader-vertex ant colony and nonlinear feedback algorithms. Appl. Ocean Res. 101(1), 102239 (2020)

5. Yuan, Q., Han, C.S.: Research on robot path planning based on smooth A* algorithm for different grid scale obstacle environment. J. Comput. Theor. Nanosci. 13(8), 5312–5321 (2016)

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