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This paper presents a real-time architecture for visual servoing of robot manipulators using nonlinear based predictive control.
This article describes a real-time architecture for Hough Transform based on CORDIC algorithm and gradient for straight lines detection.
The fundamental idea of a real-time architecture is based on the concept of feedback used in control engineering.
In this paper, we develop a real-time architecture for porting the RTPS middleware functions into the healthcare systems.
However if the individual models are too computationally intensive to run in real time, then the performance of the real-time architecture is compromised.
The result is a discrete control loop, on top of the continuous control loops, all integrated in a coherent real-time architecture.
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Section 2 presents related work on real-time architectures.
Commercial off-the-shelf (COTS) real-time architectures exist to provide adequate bandwidth and data communication channels between the components.
In this study, we present two real-time architectures using resource constrained FPGA and GPU devices for the computation of a new algorithm which performs tone mapping, contrast enhancement, and glare mitigation.
The first one was aimed at verifying the performance of the system in terms of timing, focusing in particular on the limitations of the non-real-time architecture running on Windows.
To effectively control this complex robotic system, distributed real-time hardware architecture and modified hierarchical software architecture with Sensor Data Bus (SDB) were used.
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