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You searched for +publisher:"University of Missouri – Columbia" +contributor:("McLaren, Robert W."). Showing records 1 – 3 of 3 total matches.

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University of Missouri – Columbia

1. Han, Kyung Min, 1976-. Collision free path planning algorithms for robot navigation problem.

Degree: 2007, University of Missouri – Columbia

Path planning problem, including maze navigation is a challenging topic in robotics. Indeed, a significant amount of research has been devoted to this problem in recent years. Genetic algorithm is a popular approach that searches for an optimal solution in given set of solutions. Considering via points as genes in a chromosome will provide a number of possible solutions on a grid map of paths. In this case, path distances that each chromosome creates can be regarded as a fitness measure for the corresponding chromosome. In some cases, a solution path passes through an obstacle. Assuming that the shape of an obstacle is a circle, such random solutions can easily be eliminated by setting-up simple equation between a line created by two via points and the obstacle. The ant colony optimization algorithm is another approach to solve this problem. Each ant drops a quantity of artificial pheromone on every point that the ant passes through. This pheromone simply changes the probability that the next ant becomes attracted to a particular grid point. Since each ant will make a decision at every grid point that it encounters, it is possible that an ant may wander around the grid map or may become stuck among local grid points. In order to prevent this phenomena the proposed solution adapted a global attraction term which guides ants to head toward the destination point. This thesis addresses methods of the path finding problem using these two different approaches. Both algorithms are tested and compared in the result section. The experiment results demonstrate that these two methods have a great potential to solve the proposed problem. Advisors/Committee Members: McLaren, Robert W. (advisor).

Subjects/Keywords: Robotics; Robots, Industrial; Manipulators (Mechanism); Genetic algorithms; Structural optimization

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Han, Kyung Min, 1. (2007). Collision free path planning algorithms for robot navigation problem. (Thesis). University of Missouri – Columbia. Retrieved from https://doi.org/10.32469/10355/5021

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Han, Kyung Min, 1976-. “Collision free path planning algorithms for robot navigation problem.” 2007. Thesis, University of Missouri – Columbia. Accessed December 05, 2019. https://doi.org/10.32469/10355/5021.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Han, Kyung Min, 1976-. “Collision free path planning algorithms for robot navigation problem.” 2007. Web. 05 Dec 2019.

Vancouver:

Han, Kyung Min 1. Collision free path planning algorithms for robot navigation problem. [Internet] [Thesis]. University of Missouri – Columbia; 2007. [cited 2019 Dec 05]. Available from: https://doi.org/10.32469/10355/5021.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Han, Kyung Min 1. Collision free path planning algorithms for robot navigation problem. [Thesis]. University of Missouri – Columbia; 2007. Available from: https://doi.org/10.32469/10355/5021

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Missouri – Columbia

2. Dong, Zhilin. The development of electrohydraulic steering control system for off-road vehicle automatic guidance.

Degree: 2007, University of Missouri – Columbia

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] The researches in this thesis focus on the development of computer controlled electrohydraulic steering control system for off-road vehicle automatic guidance. The system developed in this research includes steering control computer, data acquisition pad, PWM driver, electrohydraulic proportional valve, hydraulic steering cylinder and vehicle steer angle sensor. Electrohydraulic proportional valve in the system has inherent dead-band and saturation. Dead-band influences steering accuracy very much. To remove it, a nonlinear compensation algorithm is developed and implemented in this research. The developed electrohydraulic steering control system is installed on a John Deere 8200 tractor. It receives steering command signal from a machine vision system. It also can receive steering command signal (sine wave, triangle wave and step signal) generated by computer. The test road conditions include paved cement road and farm field. The test results indicated that the developed electrohydraulic steering control system can implement steering control command successfully. Advisors/Committee Members: McLaren, Robert W. (advisor).

Subjects/Keywords: Off-road vehicles  – Steering-gear  – Automatic control; Electrohydraulic servomechanisms

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Dong, Z. (2007). The development of electrohydraulic steering control system for off-road vehicle automatic guidance. (Thesis). University of Missouri – Columbia. Retrieved from https://doi.org/10.32469/10355/5981

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Dong, Zhilin. “The development of electrohydraulic steering control system for off-road vehicle automatic guidance.” 2007. Thesis, University of Missouri – Columbia. Accessed December 05, 2019. https://doi.org/10.32469/10355/5981.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Dong, Zhilin. “The development of electrohydraulic steering control system for off-road vehicle automatic guidance.” 2007. Web. 05 Dec 2019.

Vancouver:

Dong Z. The development of electrohydraulic steering control system for off-road vehicle automatic guidance. [Internet] [Thesis]. University of Missouri – Columbia; 2007. [cited 2019 Dec 05]. Available from: https://doi.org/10.32469/10355/5981.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dong Z. The development of electrohydraulic steering control system for off-road vehicle automatic guidance. [Thesis]. University of Missouri – Columbia; 2007. Available from: https://doi.org/10.32469/10355/5981

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Missouri – Columbia

3. Pogula Sridhar, Sriram. Developing neural network applications using LabVIEW.

Degree: 2005, University of Missouri – Columbia

Artificial Neural Networks (ANN) have gained tremendous popularity over the last few decades. They are considered as substitutes for classical techniques which have been followed for many years. Many neural network architectures and training algorithms have been developed so far. Different aspects of ANN such as efficiency, speed, accuracy, dependability and the like have been studied extensively. Many approaches have been suggested to improve the performance of neural nets. In this thesis, a new approach has been proposed to build neural net architectures. LabVIEW is graphical programming software developed by National Instruments. Using LabVIEW, an Application Development Environment (ADE), ready-made Virtual Instruments (VI) can be developed for various applications. This thesis concentrates on a LabVIEW approach to build various neural net structures. The learning algorithms used to train these neural nets also vary according to the requirements and application. Multi-layer feed-forward NN, Radial Basis Function NN, Principal Component NN, and Self- Organizing feature maps have been used as tools to develop applications such as pattern classification, image compression and plant modeling in a LabVIEW environment. Advisors/Committee Members: McLaren, Robert W. (advisor).

Subjects/Keywords: LabVIEW; Neural networks (Computer science)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Pogula Sridhar, S. (2005). Developing neural network applications using LabVIEW. (Thesis). University of Missouri – Columbia. Retrieved from http://hdl.handle.net/10355/4251

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Pogula Sridhar, Sriram. “Developing neural network applications using LabVIEW.” 2005. Thesis, University of Missouri – Columbia. Accessed December 05, 2019. http://hdl.handle.net/10355/4251.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Pogula Sridhar, Sriram. “Developing neural network applications using LabVIEW.” 2005. Web. 05 Dec 2019.

Vancouver:

Pogula Sridhar S. Developing neural network applications using LabVIEW. [Internet] [Thesis]. University of Missouri – Columbia; 2005. [cited 2019 Dec 05]. Available from: http://hdl.handle.net/10355/4251.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pogula Sridhar S. Developing neural network applications using LabVIEW. [Thesis]. University of Missouri – Columbia; 2005. Available from: http://hdl.handle.net/10355/4251

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.