Advancing mobile robot navigation with DRL and heuristic rewards: a comprehensive review
Robotic navigation is a critical component of autonomy, requiring efficient and safe mobility across diverse environments. The advent of Deep Reinforcement Learning (DRL) has spurred significant research into enabling mobile robots to learn effective navigation by optimizing actions based on environ...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | en en |
| Published: |
Elsevier
2025
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/122380/1/122380_Advancing%20mobile%20robot%20navigation.pdf http://irep.iium.edu.my/122380/7/122980_Advancing%20mobile%20robot%20navigation%20with%20DRL_SCOPUS.pdf http://irep.iium.edu.my/122380/ https://www.sciencedirect.com/science/article/abs/pii/S0925231225017084?via%3Dihub |
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http://irep.iium.edu.my/122380/1/122380_Advancing%20mobile%20robot%20navigation.pdfhttp://irep.iium.edu.my/122380/7/122980_Advancing%20mobile%20robot%20navigation%20with%20DRL_SCOPUS.pdf
http://irep.iium.edu.my/122380/
https://www.sciencedirect.com/science/article/abs/pii/S0925231225017084?via%3Dihub
