Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
A behavior-based robot control system using adaptive heuristic critic learning.
Download
119333.pdf
Date
2002
Author
Saraç, Ömer Sinan
Metadata
Show full item record
Item Usage Stats
165
views
0
downloads
Cite This
URI
https://hdl.handle.net/11511/12661
Collections
Graduate School of Natural and Applied Sciences, Thesis
Suggestions
OpenMETU
Core
A behavior based robot control system using neuro-fuzzy approach
Öğüt, Demet; Alpaslan, Ferda Nur; Department of Computer Engineering (2003)
In autonomous navigation of mobile robots the dynamic environment is a source of problems. Because it is not possible to model all the possible conditions, the key point in the robot control is to design a system that is adaptable to different conditions and robust in dynamic environments. This study presents a reactive control system for a Khepera robot with the ability to navigate in a dynamic environment for reaching goal objects. The main motivation of this research is to design a robot control, which i...
A Damage-based Maintenance and Repair Optimization Method Using Linear Programming for Deteriorating Systems
Akgül, Ferhat (2012-01-01)
A chance-constrained optimization model employing multiple linear decision rules.
Oğuz, Füsun; Department of Industrial Engineering (1980)
A Multinomial prototype-based learning algorithm
Bulut, Ahmet Can; Kalkan, Sinan; Department of Computer Engineering (2014)
Recent studies in machine learning field proved that ideas which were once thought impractical are in fact tangible. Over the years, researchers have managed to develop learning systems which are able to interact with the environment and use experiences for adaptation to new conditions. Humanoid robots can now learn concepts such as nouns, adjectives and verbs, which is a big step for building human-like learners. Behind all these achievements, development of successful learning and classification technique...
A behavior based robot control system architecture for navigation environments with randomly allocated walls
Altuntaş, Berrin; Alpaslan, Ferda Nur; Department of Computer Engineering (2003)
Integration of knowledge to the control system of a robot is the best way to emerge intelligence to robot. The most useful knowledge for a robot control system that aims to visit the landmarks in an environment is the enviromental knowledge. The most natural representation of the robot2s environment is a map. This study presents a behavior based robot control system architecture that is based on subsumption and motor schema architectures and enables the robot to construct the map of the environment by using...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
Ö. S. Saraç, “A behavior-based robot control system using adaptive heuristic critic learning.,” Middle East Technical University, 2002.