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ABSTRACT:
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Intelligent Robotic Systems using Biologically Inspired
Techniques
In this talk I will give an overview of the research projects being conducted
at the Intelligent Machines and Systems (IMS) Lab of the Computer Science
Department. The focus of the research in this lab is on intelligent robotic
systems with emphasis on mobile robots operating in rough and unstructured environments.
The projects fall into five areas of robotic person following, rover
navigation, robot path planning, inverse kinematics and robotic agents. I
will briefly review the current projects in each of these areas and then give
a more detailed description of one of the projects. I will show how many
techniques we use to solve highly complex problems in robotics are inspired
from biological systems, i.e. techniques such as genetic algorithms, fuzzy
logic, and neural networks. The concepts will be illustrated with a short
video and an animation developed at the IMS Lab.
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