This paper describes a comprehensive tactile sensor systemwhich can cover wide areas of full-body robots. Based on design criteria which are introduced from requirements, we develop two types of tactile sensor elements. One is a multi-valued touch sensor which has multi-level pressure thresholds. It is capable of coveringwide areas of robot surfaces. The other is made of soft, conductive gel, w...

The embedded soft computing approach in wireless sensor networks is suggested. This approach means a combination of embedded fuzzy logic and neural networks models for information processing in complex environment with uncertain, imprecise, fuzzy measuring data. It is generalization of soft computing concept for the embedded, distributed, adaptive systems.

With the rapid development of modern society, measurement and control requirements key variables air conditioning test technology are also increasing. When parameters HVAC system measured controlled, there a large number sensors instruments used. sensor failure or error distortion occurs, cannot operate normally automatically. At same time, some in be directly collected by sensor. In order to s...

Soft-tissue artifacts cause inaccurate estimates of body segment orientations. The inertial sensor (or optical marker) is orientating (or displacing) with respect to the bone it has to measure, due to muscle and skin movement [1]. In this pilot study 11 inertial and magnetic sensors (MTw, Xsens Technologies) were placed on the rectus femoris, vastus medialis and vastus lateralis (upper leg). On...

Tactile sensing is an important perception mode for robots, but the existing tactile technologies have multiple limitations. What kind of tactile information robots need, and how to use the information, remain open questions. We believe a soft sensor surface and high-resolution sensing of geometry should be important components of a competent tactile sensor. In this paper, we discuss the develo...

This paper discusses the application of statistical techniques to identify soft sensor models between the process quality variables, whose online measurements are not available in real time, and the process variables measured in real time. The methodology is illustrated through the application of the Canonical Variate Analysis for building soft sensors to predict hydrocarbon compositions in the...

AbshocT-The accurate measurement of vehicle yaw rate is vital for vehicle dynamics control, such as yaw control and traction control. Generally vehicle yaw rate is measured by gyro that will cost too much to he wed commercially as an on-vehicle sensor. Based on soft sensor technique in inferential control theory, a novel method for the estimation of vehicle yaw rate is proposed, The estimation ...