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This paper presents Thorvald II, a modular, highly re-configurable, all-weather mobile robot intended for applications in the agricultural domain.
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Robots intended to work with and care for people, however, will need more dexterity.
Robots intended for human support are required to have a "sense of touch".
In this paper, we propose a series of specific fuzzy algorithms intended to be implemented in concert on a mobile robot platform in order to optimize the sequence of actions needed for a given task, primarily the navigation of an unknown maze.
Many multiple robots and cooperation researches were focusing on the mobile robot application, e.g., robot soccer, task allocation, area exploration, robot formation, and swarm robotics [4-7].
In an interview Ronald Arkin, a robot ethicist and director of the Mobile Robot Laboratory at the Georgia Institute of Technology, was more phlegmatic.
We have been developing two main kinds of mobile robot platforms: the basic omni-directional mobile robots, and the advanced mobile robots with complex configuration.
A particularly interesting testing ground for fully autonomous mobile robot research is football (soccer).
Experimental results with ground mobile robot are presented.
Simulation results using a mobile robot validate the proposed approach.
We present a decision theoretic approach to mobile robot exploration.
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