scholarly journals Development of Intelligent Mobile Robot for Service Use. 3rd Report. Biological Real time Pattern Extraction Method Emulating Fly's Behavior and its Application to Hand-Eye System.

1999 ◽  
Vol 65 (629) ◽  
pp. 146-153
Author(s):  
Takayuki TANAKA ◽  
Junji OHWI ◽  
Kazuo YAMAFUJI
Keyword(s):  
Mobile Robot ◽  
Real Time ◽  
Extraction Method ◽  
Service Use ◽  
Pattern Extraction ◽  
Time Pattern

Research on Navigation and Obstacle Avoidance Algorithm for Autonomous Mobile Robot in Narrow Area

2011 ◽  
Vol 464 ◽  
pp. 204-207
Author(s):  
Huan Xun Li ◽  
Jun Jie Shen ◽  
Shuai Guo
Keyword(s):  
Mobile Robot ◽  
Real Time ◽  
Obstacle Avoidance ◽  
Extraction Method ◽  
Field Method ◽  
Autonomous Mobile Robot ◽  
Environment Modeling ◽  
Feature Extraction Method ◽  
Potential Field Method ◽  
Narrow Area

In order to improve the accuracy and security when autonomous mobile robot moves in narrow area, a real-time navigation and obstacle avoidance algorithm is put forward. The feature extraction method is used to search for the path points, and the angle potential field method is used to search for the target angle. Based on the two methods more accurate environment modeling and navigation for mobile robot in narrow area is realized. The algorithm has been used successfully in the household robot, and the experiment results show it’s accurate and real-time.

New Biological Real-time Pattern Extraction Emulating Fly's Behavior

2001 ◽  
Vol 13 (1) ◽  
pp. 68-73
Author(s):  
Takayuki Tanaka ◽  
◽  
Kazuo Yamafuji ◽  
Yasunori Yamazaki ◽  
Keyword(s):  
Real Time ◽  
Soft Computing ◽  
Experimental Results ◽  
Object Extraction ◽  
Pattern Extraction ◽  
Computing Technology ◽  
Time Pattern ◽  
Fundamental Object

We propose biological real-time pattern extraction. In order to extract objects from a frame image taken by a camera, many virtual flies (VFs) scattered on the CRT display are utilized. An individual VF composed of 3×3 pixels can freely fly in the display. Fundamental object extraction is to detect objects just like flies sensing food and swarming around. Methodology realized by soft-computing technology and experimental results are described in detail.

Embedded Implementation of a Resource-Efficient Optical Flow Extraction Method

MACRo 2015 ◽  
2015 ◽  
Vol 1 (1) ◽  
pp. 163-175
Author(s):  
László Bakó ◽  
Sándor-Tihamér Brassai ◽  
Călin Enăchescu
Keyword(s):  
Mobile Robot ◽  
Optical Flow ◽  
Real Time ◽  
Extraction Method ◽  
Artificial Vision ◽  
Time Motion ◽  
Motion Extraction ◽  
Egomotion Estimation ◽  
Vision Based Navigation ◽  
Embedded Implementation

AbstractThe main goal of the proposed project is to enhance a mobile robot with evolutionary optimization capabilities for tasks like egomotion estimation and/or obstacle avoidance. The robot will learn to navigate different environments and will adapt to changing conditions. This implies the implementation of vision-based navigation of robots using artificial vision, computed with on-board FPGAs. The current paper aim to contribute on the implementation of a real-time motion extraction from video a feed using embedded FPGA circuits.

Real-time Control for Mobile Robot Considering Environmental Changes

2007 ◽  
Vol 73 (12) ◽  
pp. 1369-1374
Author(s):  
Hiromi SATO ◽  
Yuichiro MORIKUNI ◽  
Kiyotaka KATO
Keyword(s):  
Mobile Robot ◽  
Real Time ◽  
Environmental Changes ◽  
Real Time Control ◽  
Time Control

Real-time road edge following for mobile robot navigation

1990 ◽  
Vol 2 (1) ◽  
pp. 35 ◽  
Author(s):  
R.A. Lotufo ◽  
A.D. Morgan ◽  
E.L. Dagless ◽  
D.J. Milford ◽  
J.F. Morrissey ◽  
...  
Keyword(s):  
Mobile Robot ◽  
Real Time ◽  
Robot Navigation ◽  
Mobile Robot Navigation

Soft computing algorithms for intelligent control of a mobile robot for service use

1997 ◽  
Vol 1 (2) ◽  
pp. 99-106 ◽  
Author(s):  
T. Tanaka ◽  
J. Ohwi ◽  
L. V. Litvintseva ◽  
K. Yamafuji ◽  
S. V. Ulyanov
Keyword(s):  
Mobile Robot ◽  
Soft Computing ◽  
Intelligent Control ◽  
Service Use
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