Trajectory tracking and obstacle avoidance in dynamic environments using an improved artificial potential field method.

Ensuring that a robot employing demonstration learning models can simultaneously achieve accurate trajectory tracking of demonstrated paths and effective avoidance of moving obstacles in dynamic environments remains a critical research challenge. This paper proposes a real-time trajectory planning f...

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Bibliographic Details
Main Authors: Long Di, Naiwei Huang, Jiaqi He, Xuxiang Wu, Hansheng Huang, Yongbin Su, Tundong Liu
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0326879
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