Laser-scanner-based self-localization for autonomous mobile robots using neural network

1998 ◽  
Author(s):  
Dongbing Gu ◽  
Zhengxun Song
Keyword(s):  
Neural Network ◽  
Mobile Robots ◽  
Laser Scanner ◽  
Autonomous Mobile Robots

Person Searching Through an Omnidirectional Camera Using CNN in the Tsukuba Challenge

2018 ◽  
Vol 30 (4) ◽  
pp. 540-551 ◽  
Author(s):  
Shingo Nakamura ◽  
◽  
Tadahiro Hasegawa ◽  
Tsubasa Hiraoka ◽  
Yoshinori Ochiai ◽  
...  
Keyword(s):  
Neural Network ◽  
Mobile Robot ◽  
Mobile Robots ◽  
Convolutional Neural Network ◽  
Autonomous Mobile Robots ◽  
Laser Sensor ◽  
Autonomous Mobile Robot ◽  
Omnidirectional Camera ◽  
Public Road

The Tsukuba Challenge is a competition, in which autonomous mobile robots run on a route set on a public road under a real environment. Their task includes not only simple running but also finding multiple specific persons at the same time. This study proposes a method that would realize person searching. While many person-searching algorithms use a laser sensor and a camera in combination, our method only uses an omnidirectional camera. The search target is detected using a convolutional neural network (CNN) that performs a classification of the search target. Training a CNN requires a great amount of data for which pseudo images created by composition are used. Our method is implemented in an autonomous mobile robot, and its performance has been verified in the Tsukuba Challenge 2017.

Spiking neural network-based target tracking control for autonomous mobile robots

2015 ◽  
Vol 26 (8) ◽  
pp. 1839-1847 ◽  
Author(s):  
Zhiqiang Cao ◽  
Long Cheng ◽  
Chao Zhou ◽  
Nong Gu ◽  
Xu Wang ◽  
...  
Keyword(s):  
Neural Network ◽  
Mobile Robots ◽  
Target Tracking ◽  
Tracking Control ◽  
Autonomous Mobile Robots ◽  
Spiking Neural Network
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