A Virtual End-to-End Learning System for Robot Navigation Based on Temporal Dependencies

A Virtual End-to-End Learning System for Robot Navigation Based on Temporal Dependencies

Steering a wheeled mobile robot through a variety of environments is a complex task. To achieve this, many researchers have tried to convert front-facing camera data stream to the corresponding steering angles based on convolutional neural network model (CNN). However, most of existing methods suffe...

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Bibliographic Details
Main Authors: Yanqiu Zhang, Ruiquan Ge, Lei Lyu, Jinling Zhang, Chen Lyu, Xiaojuan Yang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Robot navigation
wheeled mobile robot
end to end learning
LSTM
Online Access:https://ieeexplore.ieee.org/document/9144508/

Internet

https://ieeexplore.ieee.org/document/9144508/

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