Real Time Path Planning of Robot using Deep Reinforcement Learning
This paper considers finding a path in real time for a robot from the given initial position to the goal position. The environment is assumed to be mapped (known completely) and the resulting path should avoid all the obstacles, both static and dynamic in the mapped environment. The robot’s (agent)...
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Published in | IFAC-PapersOnLine Vol. 53; no. 2; pp. 15602 - 15607 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
2020
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Subjects | |
Online Access | Get full text |
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