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Neural dynamics based approaches to ...

Bueckert, Jeffrey Thomas.

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Neural dynamics based approaches to exploration and tracking control of mobile robots.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Neural dynamics based approaches to exploration and tracking control of mobile robots./
Author:	Bueckert, Jeffrey Thomas.
Description:	120 p.
Notes:	Source: Masters Abstracts International, Volume: 46-03, page: 1647.
Contained By:	Masters Abstracts International46-03.
Subject:	Engineering, Electronics and Electrical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR33838
ISBN:	9780494338384

Neural dynamics based approaches to exploration and tracking control of mobile robots.
Bueckert, Jeffrey Thomas.

Neural dynamics based approaches to exploration and tracking control of mobile robots. - 120 p.

Source: Masters Abstracts International, Volume: 46-03, page: 1647.

Thesis (M.Sc.)--University of Guelph (Canada), 2007.

Neural networks have been used to solve many different problems across several fields of research. In this thesis a neural dynamics approach is applied to three problems in the field of mobile robotics: motion control, multiple target path planning and exploration. For motion control, the proposed controller is an improvement of an existing tracking controller that uses a gated dipole model. To increase its effectiveness an extended Kalman filter position tracking module is added. For multiple target path planning a shunting model neural network is used. The algorithm is capable of generating an efficient path for static, prioritized and dynamic environments. The exploration algorithm uses an occupancy grid map as input to a shunting model neural network. The algorithm attracts the mobile robot to unexplored areas while at the same time encouraging the robot to maintain its current heading and to maintain a safe distance from known obstacles.

ISBN: 9780494338384Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

Neural dynamics based approaches to exploration and tracking control of mobile robots.
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020 $a 9780494338384
035 $a (UMI)AAIMR33838
035 $a AAIMR33838
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100 1 $a Bueckert, Jeffrey Thomas. $3 1266332
245 1 0 $a Neural dynamics based approaches to exploration and tracking control of mobile robots.
300 $a 120 p.
500 $a Source: Masters Abstracts International, Volume: 46-03, page: 1647.
502 $a Thesis (M.Sc.)--University of Guelph (Canada), 2007.
520 $a Neural networks have been used to solve many different problems across several fields of research. In this thesis a neural dynamics approach is applied to three problems in the field of mobile robotics: motion control, multiple target path planning and exploration. For motion control, the proposed controller is an improvement of an existing tracking controller that uses a gated dipole model. To increase its effectiveness an extended Kalman filter position tracking module is added. For multiple target path planning a shunting model neural network is used. The algorithm is capable of generating an efficient path for static, prioritized and dynamic environments. The exploration algorithm uses an occupancy grid map as input to a shunting model neural network. The algorithm attracts the mobile robot to unexplored areas while at the same time encouraging the robot to maintain its current heading and to maintain a safe distance from known obstacles.
590 $a School code: 0081.
650 4 $a Engineering, Electronics and Electrical. $3 626636
650 4 $a Engineering, Robotics. $3 1018454
690 $a 0544
690 $a 0771
710 2 $a University of Guelph (Canada). $3 1018650
773 0 $t Masters Abstracts International $g 46-03.
790 $a 0081
791 $a M.Sc.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR33838