A behavior-based mobile robot navigation method with deep reinforcement learning
Deep reinforcement learning-based mobile robot navigation has attracted some recent interest. In the single-agent case, a robot can learn to navigate autonomously without a map of the environment. In the multi-agent case, robots can learn to avoid collisions with each other. In this work, we propose...
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Main Authors: | Li, Juncheng, Ran, Maopeng, Wang, Han, Xie, Lihua |
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Other Authors: | School of Electrical and Electronic Engineering |
Format: | Article |
Language: | English |
Published: |
2022
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/159859 |
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Institution: | Nanyang Technological University |
Language: | English |
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