Collision prediction based genetic network programming-reinforcement learning for mobile robot navigation in unknown dynamic environments
The problem of determining a smooth and collision-free path with maximum possible speed for a Mobile Robot (MR) which is chasing a moving target in a dynamic environment is addressed in this paper. Genetic Network Programming with Reinforcement Learning (GNP-RL) has several important features over o...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Korean Institute of Electrical Engineers
2017
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| Online Access: | http://psasir.upm.edu.my/id/eprint/61141/1/Collision%20prediction%20based%20genetic%20network%20programming-reinforcement%20learning%20for%20mobile%20robot%20navigation%20in%20unknown%20dynamic%20environments.pdf http://psasir.upm.edu.my/id/eprint/61141/ |
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