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In this paper we present two examples to show how such characteristics can be used to extend the adaptability and fault tolerance of a multiple robot architecture.
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Mobile Agents (MA's) combine the functionality found in all other distributed computing paradigms in a unified environment and provide a natural design philosophy for distributed computing systems such as multiple robot architectures.
Multiple robot systems have become a major study concern in the field of robotic research.
His research interest is robot architecture optimizes.
First, the robot architecture is introduced.
Formulation of the problem for multiple robot path planning has been elaborated in "Problem formulation for multiple robot navigation" section.
Multiple robot models are used to approach multiple strategies in human standing balance.
After scaling, these parameters are used to define C E B model of robot architecture.
We also considered how the robot architecture will be developed to maintain good relationships.
The concept of multiple robot systems (MRS) began in the 1990s, in particular in works regrouping mobile robots, gathering objects [1] and robot colonies [2, 3].
The design of a general post-processor capable of translating the output of multiple robot simulators to multiple robot programming languages is an extremely complex problem.
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