Path Planning of a Mobile Robot for a Dynamic Indoor Environment Based on an SAC-LSTM Algorithm

This paper proposes an improved Soft Actor–Critic Long Short-Term Memory (SAC-LSTM) algorithm for fast path planning of mobile robots in dynamic environments. To achieve continuous motion and better decision making by incorporating historical and current states, a long short-term memory network (LST...

Full description

Bibliographic Details
Main Authors: Yongchao Zhang, Pengzhan Chen
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/23/24/9802

Similar Items