Adaptive Motion Planning Leveraging Speed-Differentiated Prediction for Mobile Robots in Dynamic Environments

Adaptive Motion Planning Leveraging Speed-Differentiated Prediction for Mobile Robots in Dynamic Environments

This paper presents a novel motion planning framework for mobile robots operating in dynamic and uncertain environments, with an emphasis on accurate trajectory prediction and safe, efficient obstacle avoidance. The proposed approach integrates search-based planning with deep learning techniques to...

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Bibliographic Details
Main Authors: Tengfei Liu, Zihe Wang, Jiazheng Hu, Shuling Zeng, Xiaoxu Liu, Tan Zhang
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Applied Sciences
Subjects:
motion planning
dynamic obstacles
GRUs
LSTM
Online Access:https://www.mdpi.com/2076-3417/15/13/7551
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