Masters Theses
Abstract
"A car-like indoor mobile robot is a kinematically constrained robot that can be modeled as a 2D object translating and rotating in the horizontal plane among well- defined obstacles. The kinematic constraints impose that the linear velocity of the robot is along its main axis (no sideways motion is possible) and restrict the range of admissible values for the steering angle. The goal of this study is to combine neural network techniques and motion planning algorithms to create a new methodology for coordinating the motion of multiple car-like robots avoiding collision with polygonal obstacles in a work environment. An incremental technique is used to develop this methodology. First, a strategy for planning the path of a point robot moving in the presence of obstacles is constructed. Second, this strategy is adapted to path planning for a polygonal robot. Third, holonomic and non-holonomic constraints are imposed on the robot and the method is further refined. Finally, a plan for the coordinated motion of multiple car-like robots is devised through use of the concept of coordination space"--Abstract, page iii.
Advisor(s)
Krishnamurthy, K.
Committee Member(s)
Liou, Frank W.
Dagli, Cihan H., 1949-
Department(s)
Mechanical and Aerospace Engineering
Degree Name
M.S. in Mechanical Engineering
Publisher
University of Missouri--Rolla
Publication Date
Spring 2000
Pagination
vii, 56 pages
Note about bibliography
Includes bibliographical references (pages 54-55).
Rights
© 2000 Prasanna Venkatesan Sadagopan, All rights reserved.
Document Type
Thesis - Open Access
File Type
text
Language
English
Thesis Number
T 7743
Print OCLC #
44645332
Electronic OCLC #
1105930004
Link to Catalog Record
Recommended Citation
Sadagopan, Prasanna Venkatesan, "A neural network methodology for path planning and coordination of car-like robots" (2000). Masters Theses. 4401.
https://scholarsmine.mst.edu/masters_theses/4401
