Application of Reinforcement Learning in Autonomous Mobile Robots

With the rapid rise of the deep reinforcement learning and progressive development of sensors for autonomous mobile robots it is feasible to teach robots to solve tasks of autonomous navigation in unknown environments. Reinforcement learning itself is a technique that solves this problem. In this work we discuss the reinforcement leaning approach, as well as the requirements needed for the mobile robots to use it. It also give example of modern autonomous mobile robot and its specification.

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Publication Details

Published
2024-11-21
DOI
https://doi.org/10.1109/telecom63374.2024.10812227
Citations
2
Primary Topic
Advanced Algorithms and Applications
Type
article
Field-Weighted Citation Impact
0.66
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article

Application of Reinforcement Learning in Autonomous Mobile Robots

Vladimir Dimitrov Hristov, Anastasiya Slavova
2 citations
Advanced Algorithms and Applications
0.66
article

Application of Reinforcement Learning in Autonomous Mobile Robots

Vladimir Dimitrov Hristov, Anastasiya Slavova
article en
2 citations

Abstract

With the rapid rise of the deep reinforcement learning and progressive development of sensors for autonomous mobile robots it is feasible to teach robots to solve tasks of autonomous navigation in unknown environments. Reinforcement learning itself is a technique that solves this problem. In this work we discuss the reinforcement leaning approach, as well as the requirements needed for the mobile robots to use it. It also give example of modern autonomous mobile robot and its specification.

Openalex Percentile: Top 28%
Advanced Algorithms and Applications
0.66
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Application of Reinforcement Learning in Autonomous Mobile Robots — Vladimir Dimitrov Hristov, Anastasiya Slavova · (2024) | TGRS Research Map | TGRS