Article ID Journal Published Year Pages File Type
710265 IFAC Proceedings Volumes 2009 6 Pages PDF
Abstract

AbstractIn the original paradigm, robots had to play the focal role of considering all situations under which they made decisions and operate. Such paradigm makes it difficult to respond efficiently to the dynamically shifting environment. In order to handle situations that change dynamically in an efficient manner, a technology that allows a dynamic execution of data transmission and connection between robots based on scenarios is required. In this paper, we represent an evolutionary robot that adapts to any given environment and executes scenarios with an R-Object model. Scenario-based R-Object models allow dynamic reconstruction and they've been tested and validated through simulators. The proposed R-Object model will propose an effective control mechanism for dynamically shifting environments.

Related Topics
Physical Sciences and Engineering Engineering Computational Mechanics
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