Bidirectional Obstacle Avoidance Enhancement‐Deep Deterministic Policy Gradient: A Novel Algorithm for Mobile‐Robot Path Planning in Unknown Dynamic Environments

Real‐time path planning in unknown dynamic environments is a significant challenge for mobile robots. Many researchers have attempted to solve this problem by introducing deep reinforcement learning, which trains agents through interaction with their environments. A method called BOAE‐DDPG, which co...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Advanced intelligent systems Jg. 6; H. 4
Hauptverfasser:	Xue, Junxiao, Zhang, Shiwen, Lu, Yafei, Yan, Xiaoran, Zheng, Yuanxun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Weinheim John Wiley & Sons, Inc 01.04.2024 Wiley
Schlagworte:	Algorithms Artificial intelligence Attention Behavior cross‐attention mechanisms deep deterministic policy gradients Deep learning deep reinforcement learning dynamic psychologies Lasers Machine learning mobile robot path planning Neural networks Obstacle avoidance Path planning Planning Robot dynamics Robots Unknown environments Velocity
ISSN:	2640-4567, 2640-4567
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!