In this work, we present implementation and experiment of the theory of dynamic force sensing for robotic manipulators, which uses a sensor fusion technique in order to extract the contact force exerted by the end-eff...
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In this paper, we propose a method for self-calibration of a robotic manipulator force observer, which fuses information from force sensors and accelerometers in order to estimate the contact force exerted by a manipu...
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We estimated the geomagnetic field from KOMPSAT-1 Three-Axis Magnetometer (TAM) measurements that control the attitude. Initial processing involved transforming the TAM's telemetry data from Earth-Centered Inertia...
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In this paper, we propose a new method integrating both a priori shape information and our knowledge about gray levels of the desired structure. We describe an approach inspired from tracking to deal with non-uniform ...
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ISBN:
(纸本)0889865183
In this paper, we propose a new method integrating both a priori shape information and our knowledge about gray levels of the desired structure. We describe an approach inspired from tracking to deal with non-uniform gray levels. We define focus region to consider both interior and exterior of the desired object. We utilize signed distance function to consider shape information. Embedding a priori shape and gray level knowledge in a statistical platform, we use correlation between changes in shape and histogram to improve the results. Our method successfully segments Thalamus and other brain structures.
Because of poor signal-to-noise ratio (SNR) of the fMRI time series and confounding effects, the results of fMRI analysis are often unsatisfactory. Existence of significant noise and artifacts in fMRI time-series as w...
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ISBN:
(纸本)0889865183
Because of poor signal-to-noise ratio (SNR) of the fMRI time series and confounding effects, the results of fMRI analysis are often unsatisfactory. Existence of significant noise and artifacts in fMRI time-series as well as their unknown structure, complicates the problem of activation detection in the time domain. This makes the fMRI noise suppression a challenging problem. Based on some assumptions, different parametric denoising methods such as wavelet based denoising methods have been introduced in the literature. But these assumptions may not necessarily hold for the fMRI data. To remedy this problem, using randomization analysis, we propose a novel wavelet-based denoising method for fMRI analysis. The proposed denoising method is employed to build a feature space for fMRI cluster analysis and its efficiency is shown using simulated and experimental datasets.
Fuzzy cluster analysis (FCA) of functional magnetic resonance images, suffers from some drawbacks such as a priori definition of number of clusters and unidentified statistical significance of results. Here, we introd...
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ISBN:
(纸本)0889865183
Fuzzy cluster analysis (FCA) of functional magnetic resonance images, suffers from some drawbacks such as a priori definition of number of clusters and unidentified statistical significance of results. Here, we introduce a method to control the rate of false positive detection in FCA which gives a meaningful statistical significance to the results. Using this method, we also derive the optimal number of clusters. In this study by measuring the rate of false alarm detection while analyzing 6 experimental datasets, we evaluate the introduced method for making statistical inference.
In robotic operations where a manipulator is involved, it is well-known that the quantities measured by a wrist force/torque sensor are corrupted by the dynamics of the end effector and manipulator. To solve this prob...
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This work investigated the potential for the non-contact measurement of volumetric soil moisture profiles by detecting reflected VHF and UHF radio waves. The investigation included the development of an instrumentatio...
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This work investigated the potential for the non-contact measurement of volumetric soil moisture profiles by detecting reflected VHF and UHF radio waves. The investigation included the development of an instrumentation system to measure radio wave reflection coefficients, a calibration routine for such a system, a model for simulating electromagnetic reflections from layered dielectric media, and an algorithm devised to resolve layers of moisture from radio wave reflections of multiple frequencies. Field trials of the system were conducted in which measured reflection coefficients were compared with simulated results, and predicted moisture gradients were compared with actual moisture profiles. The model that simulated reflection coefficients in the frequency range of 80 MHz to 1 GHz was tested using hypothetical and existent moisture profiles. Results of simulated profiles indicated that reflection coefficients could be used to distinguish between volumetric surface moisture and could detect subsurface moisture to a dept. of 45.7 cm. Reflection measurements made in the field trials indicated that linear correlation could be made with volumetric moisture in the top 15.2 cm. The profile restoration algorithm closely predicted simulated near-surface moisture but had a high failure rate predicting deep subsurface moisture. Results of the study indicated that reflection coefficients could be used to detect soil moisture at dept., but the restoration algorithm did not effectively resolve moisture layers.
Solid modelers enable engineers to design 3D objects including free-form surfaces, and solid models can be used for many systems such as CAM and CAE. However, solid modelers are generally too expensive comparing to 2D...
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Solid modelers enable engineers to design 3D objects including free-form surfaces, and solid models can be used for many systems such as CAM and CAE. However, solid modelers are generally too expensive comparing to 2D CAD systems, and it is difficult and time consuming to create the solid models of products consisting of a great many parts. In this case, the products can be expressed simply in 2D CAD systems by using simplified expressions such as omissions and sectional views. In this paper, a method is proposed that can convert 2D drawings of structures including omissions and sectional views into 3D models. The properties of simplified expressions are formulated as an algorithm in the method.
In this work, we present implementation and experiment of the theory of dynamic force sensing for robotic manipulators, which uses a sensor fusion technique in order to extract the contact force exerted by the end-eff...
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In this work, we present implementation and experiment of the theory of dynamic force sensing for robotic manipulators, which uses a sensor fusion technique in order to extract the contact force exerted by the end-effector of the manipulator from those measured by a wrist force sensor, which are corrupted by the inertial forces on the end-effector. We propose a new control strategy based on multisensor fusion with three different sensors— that is, encoders mounted at each joint of the robot with six degrees of freedom, a wrist force sensor and an accelerometer— whose goal is to obtain a suitable contact force estimator for the three Cartesian axes. This new observer contributes to overcome many of the difficulties of uncertain world models and unknown environments, which limit the domain of application of currents robots used without external sensory feedback. An impedance control scheme was proposed to verify the improvement. The experiments were carried out on an ABB industrial robot with open controlsystem architecture.
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