Neural Network-Based Learning from Demonstration of an Autonomous Ground Robot

Neural Network-Based Learning from Demonstration of an Autonomous Ground Robot

This paper presents and experimentally validates a concept of end-to-end imitation learning for autonomous systems by using a composite architecture of convolutional neural network (ConvNet) and Long Short Term Memory (LSTM) neural network. In particular, a spatio-temporal deep neural network is dev...

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Bibliographic Details
Main Authors: Yiwei Fu, Devesh K. Jha, Zeyu Zhang, Zhenyuan Yuan, Asok Ray
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Machines
Subjects:
autonomous robots
neural networks
imitation learning
Online Access:https://www.mdpi.com/2075-1702/7/2/24

Internet

https://www.mdpi.com/2075-1702/7/2/24

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