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Robot-assisted minimally invasive surgery becomes more and more popular, but the lack of force sensing for surgical robots restricts the development of this technology. The traditional way to obtain tool-tissue interaction force is to integrate sensors at the end of surgical instruments, which is not well adopted in practical due to high-cost and sterilization problems. It is necessary to explore...
The spatial distributions of soil heavy metals are not continuous with landscape heterogeneity. In the context, the existing spatial interpolation methods cannot obtain accurate estimation of contents of soil heavy metals in unknown locations. In this paper, we present a novel adaptive algorithm for spatial interpolation of soil heavy metals under spatial heterogeneity background. The core idea of...
In this paper, we propose a robust novel approach with closed-form estimator for object tracking based on a non-linear measurement model over time from a single sensor with arbitrary noise degradation. Relying on the widely-used dynamic motion model for arbitrary moving targets, tracking of moving objects can be formulated using received signal strength (RSS) measurements. We provide a closed-form...
The localization problem in mobile sensors is aimed at identifying the spatial location of an object with reference to a known coordinate system. Existing solutions assume that multiple (generally three or more) sensors around the object know their position and the solution is obtained by using a triangulation scheme. Such solutions are not computationally feasible when the object or sensor are moving...
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