Real-time Trajectory Planning Algorithm Based on Collision Criticality and Deep Reinforcement Learning

Real-time collision avoidance in dynamic environments is a challenge in trajectory planning of mobile robots. Focusing on environments with variable number of obstacles,this paper proposes a real-time trajectory planning algorithm,Crit-LSTM-DRL,based on long short-term memory(LSTM) and deep reinforc...

Volledige beschrijving

Bewaard in:

Bibliografische gegevens
Hoofdauteur:	XU Linling, ZHOU Yuan, HUANG Hongyun, LIU Yang
Formaat:	Artigo
Taal:	Chinês
Gepubliceerd in:	Editorial office of Computer Science 2023-03-01
Reeks:	Jisuanji kexue
Onderwerpen:	trajectory planning\|collision avoidance\|obstacle criticality\|deep reinforcement learning
Online toegang:	https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2023-50-3-323.pdf
Tags:	Voeg label toe Geen labels, Wees de eerste die dit record labelt!

Real-time Trajectory Planning Algorithm Based on Collision Criticality and Deep Reinforcement Learning

Gelijkaardige items