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Artificial intelligence for precision movement robot

Authors: Kiran Kumar Lekkala; Vinay Kumar Mittal;

Artificial intelligence for precision movement robot

Abstract

Proportional Integral Differential (PID) feedback systems are known for their robustness, accuracy and stability. These systems are used in a wide variety of applications. In this paper, we explore the possibility of using a PID architecture in robotic 3D navigation systems. The system developed can be implemented for robotic applications that require high precision of movements along the three dimensions. The precision of movements may be required with reference to the user controls provided, for example in unmanned or autonomous driving systems, which in turn require Artificial Intelligence methodologies to give the outputs such that it attains precision. An experimental 3D precision robot is developed, in which the PID algorithm is implemented. The results of experiments conducted, confirm the effectiveness of PID controller in achieving the high precision of robotic movements in three dimensions.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
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