Optimizing mobile robot navigation through neuro-symbolic fusion of Deep Deterministic Policy Gradient (DDPG) and fuzzy logic
Mobile robot navigation has been a sector of great importance in the autonomous systems research arena for a while. For ensuring successful navigation in com-plex environments several rule-based traditional approaches have been employed previously which possess several drawbacks in terms of ensuring...
Saved in:
Main Authors: | , , , , |
---|---|
Format: | Proceeding Paper |
Language: | English English English |
Published: |
Springer Nature
2024
|
Subjects: | |
Online Access: | http://irep.iium.edu.my/112824/3/112824_Optimizing%20mobile%20robot%20navigation%20through%20neuro-symbolic%20fusion%20of%20Deep%20Deterministic%20Policy%20Gradient%20%20and%20fuzzy%20logic.pdf http://irep.iium.edu.my/112824/2/112824_Optimizing%20Mobile%20Robot%20Navigation%20Through%20Neuro-Symbolic%20Fusion%20of%20Deep%20Deterministic%20Policy%20Gradient%20%28DDPG%29%20and%20Fuzzy%20Logic_Scopus.pdf http://irep.iium.edu.my/112824/1/ROBOVIS_Latest.pdf http://irep.iium.edu.my/112824/ https://doi.org/10.1007/978-3-031-59057-3_18 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Be the first to leave a comment!