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We efficiently plan feasible, collision-free grasps for the segmented objects directly from the perceived point clouds to achieve fast execution times.
In this way, the nonlinear formulation is approached by approximated linearized functions that render the problem as a MIP, which enables the computation of global optima within fast execution times.
The main advantage of the discrete model is the fast execution times when compared to those of the microscopic model.
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Our approach has fast execution time and low memory footprint.
Contingency analysis (CA) requires fast execution time for real-time power system operations.
Accuracy of the model in the results has been shown with fast execution time compared to the FEM solution.
Full FOV and planar representation of the map gives the proposed SLAM system the capability to map large-scale environments while maintaining fast execution time.
However, regarding execution time, we must consider that we want to provide responsive interaction, and therefore, we expect fast execution time (preferably in the order of 100 ms).
This approach is well suited for an embedded device providing a good trade-off between fast execution time, model accuracy, and memory footprint.
Such development improves the performance of the μC including fast execution time, decrease machine code size, so decrease storage requirements and provide low power consumption.
The fast execution time is attributed to the recursive nature of our algorithms and to their efficient data structure (a simple array) for storing the best-first node information.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com