Resources

[top][back] PES: Parallelized Evolution System

This system is being developed in conjunction with IRIDIA within our collaboration on the Swarm-bots project. The system parallelizes the execution of evolutionary methods over multiple computers connected via a network. PES is based upon PVM, a popular parallel programming library.

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[top][back] KITE: Khepera Integrated Tracking Environment

KITE is developed as an integrated environment created for visual and quantitative evaluation of navigation and localization algorithms in real time on the miniature robot Khepera. This system was developed by Dr. Erol Sahin during his PhD studies and is no longer supported. The source and documentation is provided "as is" with the hope that it can be of help to others. |

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[top][back] WebBibTeX

WebBibTeX provides you with an interface for gathering and maintaining BibTeX entries on the web. BibTeX is a program that creates bibliographies for LaTeX.

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• http://swarm-robotics.org

[top][back] Neurocomputing (CENG 569)

Learning and generalization. The basic perceptron and linear separability. Multi-layer perceptrons and the backpropagation algorithm. The Hopfield Model and its dynamics. Bi-directional associative memory. Recurrent Networks. Unsupervised Learning and self organizing maps. The counter propagation network. Boltzman Machine and Simulated Annealing. Recent advances. Discrete time signals and systems. Sampling, reconstruction, quantization. Digital image representation. Digital image fundamentals. Image transforms. Image enhancements. Image restoration. Image segmentation and description.

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[top][back] Fundamentals of Autonomous Robotics (CENG 710)

Autonomous robots have become a test-bed for artificial intelligence. Developing a full- or semi-autonomous robot that is physically embodied in the world is subject to many restrictions, such as local sensing, unstructured environment and real-time execution/adaptation. This course aims to 1) cover the evolution of artificial intelligence approaches to autonomous robotics 2) introduce the fundamental problems/requirements/contraints of autonomous robotics research 3) present seminal works in the field, and 4) make the students to study some of the problems on physical robots or robot simulators.

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