Some approaches concerning autonomous mobile robot control

被引：0

作者：

Boris-Sergiu, Cononovici ^{[1
]}

机构：

[1] Acad Romana, Inst Solid Mech, Robot Mechatron Grp, Bucharest 010141, Romania

来源：

PROCEEDINGS OF THE 9TH WSEAS INTERNATIONAL CONFERENCE ON AUTOMATION AND INFORMATION | 2008年

关键词：

autonomous mobile robot; reactive behaviour; genetic algorithm; reinforcement learning; path finding;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper tackles methods for building a reactive behaviour for navigation of a mobile robot ill uncertain environment. Sensor-based navigation uses logical inference which represents the mapping between the sensor input space and the mobile robot action space. This mapping is obtained by a genetic algorithm or by learning. To the mobile robot equipped with this ability is attached the navigation skill. A control system based on two micro controllers running in parallel is an actual hardware on which are applied the control strategies. Simulations verify the effectiveness of the proposed methods.

引用

页码：54 / 59

页数：6

共 9 条

[1]

BLOOM HR, 1995, IEEE T SYST MAN CYB, V25, P464

[2] A ROBUST LAYERED CONTROL-SYSTEM FOR A MOBILE ROBOT [J].

BROOKS, RA .

IEEE JOURNAL OF ROBOTICS AND AUTOMATION, 1986, 2 (01) :14-23

[3]

CONONOVICI BS, 2004, ROBOTICA MANAGEMENT, V9, P23

[4]

CONONOVICI BS, 2004, P 2 INT C ROB OCT 14, V9, P45

[5]

CONONOVICI BS, 2005, P ANN S I SOL MECH M

[6]

FOGEL DB, 1984, IEEE T NEURAL NETWOR, V5, P3

[7] Spatial reasoning about robot compliant movements and optimal paths in qualitatively modeled environments [J].

Liu, JM .

INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 1996, 15 (02) :181-210

[8]

MILLAN JD, 1995, ROBOT AUTON SYST, V15, P275, DOI 10.1016/0921-8890(95)00021-7

[9]

Sutton R. S., 1988, Machine Learning, V3, P9, DOI 10.1023/A:1022633531479

← 1 →