Tactile Aware Dynamic Obstacle Avoidance in Crowded Environment with Deep Reinforcement Learning

Mobile robots operating in crowded environments require the ability to navigate among humans and surrounding obstacles efficiently while adhering to safety standards and socially compliant mannerisms. This scale of the robot navigation problem may be classified as both a local path planning and traj...

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Veröffentlicht in:	arXiv.org 2024-06
Hauptverfasser:	Ng, Yung Chuen, Wen, Qi, Lim, Chun Ye Tan, Zhen Hao Gan, Yee, Meng, Chuah
Format:	Artikel
Sprache:	eng
Schlagworte:	Deep learning Neural networks Obstacle avoidance Path planning Robot dynamics Robots Sensor arrays Trajectory optimization Trajectory planning
Online-Zugang:	Volltext
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