This paper extensively explores and analyzes the latest research trends in Ionic Polymer-Metal Composites (IPMC) sensors. IPMC sensors are known for their flexibility, lightness, and high responsiveness. They show great promise across different fields. They can respond sensitively to various stimuli such as mechanical deformation, humidity, and pressure, making them ideal for bio-responsive detection, health monitoring, and energy harvesting. This paper introduces actuation and sensing mechanisms of IPMCs, discusses their manufacturing processes, and explores how these processes can influence the responsiveness and stability of sensors. Moreover, through case studies of IPMC-based research that can perform self-sensing functions, it presents possibilities brought by the integration of sensors and actuators. This paper emphasizes the potential for research and development of IPMC sensors to expand into various industrial fields and explores ways to continuously improve the accuracy and reliability of sensors. IPMC-based sensors are expected to play a significant role in advancing medical devices and wearable technologies, thereby facilitating innovation in the field.
Gas sensors are crucial devices in various fields such as industrial safety, environmental monitoring, and gas infrastructure. Designed to have high-sensitivity, stability, and reliability, gas sensors are often required to be cost-effective with quick response and compactness. To meet diverse needs, we developed two types of gas sensors based on volumetric and manometric analyses. These sensors could operate by measuring gas volume and pressure changes, respectively, based on emitted gas. These sensors are capable of determining gas transport parameters such as gas uptake, solubility, and diffusivity for gas-charged polymers in a high-pressure environment. These sensors can provide rapid responses within one-second. They can measure gas concentration ranging from 0.01 wt·ppm to 1,500 wt·ppm with adjustable sensitivity and measurement ranges. As a result, such sensor system can be used to facilitate real time detection and analysis of gas transport properties in pure gases including H₂, He, N₂, O₂, and Ar.
This paper introduces a new outdoor localization method for practical application to guide robots. This method uses only encoder data from the robot’s wheels and non-inertial sensors, such as GPS and a digital compass, to guarantee ease of use and economy in real world usage without cumulative error. Position and orientation information from DGPS (Differential Global Positioning System) and a digital compass are combined with encoder data from the robot’s wheels to more accurately estimate robot position using an extended Kalman filter. Conventional robot guidance methods use different types of fusion that rely on DGPS. We use a very simple and consistent method that ensures localization stability by using the validation gate to evaluate DGPS reliability and digital compass data that can be easily degraded by various noise sources. Experimental results of the localization are presented that show the feasibility and effectiveness of the methods using a real robot in real world conditions.
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Indoor Localization of a Mobile Robot based on Unscented Kalman Filter Using Sonar Sensors Soo Hee Seo, Jong Hwan Lim Journal of the Korean Society for Precision Engineering.2021; 38(4): 245. CrossRef
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Estimation of Vertical Displacement based on Inertial Sensor Signals Combined with Joint Constraint Jung Keun Lee Journal of the Korean Society for Precision Engineering.2019; 36(3): 233. CrossRef
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