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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Bibliographic Details
Published inIFAC-PapersOnLine Vol. 53; no. 2; pp. 15602 - 15607
Main Authors Raajan, Jeevan, Srihari, P V, Satya, Jayadev P, Bhikkaji, B, Pasumarthy, Ramkrishna
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 2020
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