Learning Dynamic Weight Adjustment for Spatial-Temporal Trajectory Planning in Crowd Navigation

Robot navigation in dense human crowds poses a significant challenge due to the complexity of human behavior in dynamic and obstacle-rich environments. In this work, we propose a dynamic weight adjustment scheme using a neural network to predict the optimal weights of objectives in an optimization-b...

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Veröffentlicht in:	arXiv.org 2024-11
Hauptverfasser:	Cao, Muqing, Xu, Xinhang, Yang, Yizhuo, Li, Jianping, Jin, Tongxing, Wang, Pengfei, Hung, Tzu-Yi, Lin, Guosheng, Xie, Lihua
Format:	Artikel
Sprache:	eng
Schlagworte:	Autonomous navigation Complexity Human behavior Motion planning Neural networks Obstacle avoidance Robot dynamics Robots Trajectory planning
Online-Zugang:	Volltext
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