[HTML][HTML] Machine learning techniques for increasing efficiency of the robot's sensor and control information processing

Y Kondratenko, I Atamanyuk, I Sidenko, G Kondratenko… - Sensors, 2022 - mdpi.com
Real-time systems are widely used in industry, including technological process control
systems, industrial automation systems, SCADA systems, testing, and measuring equipment …

3D optical measurement techniques

T Engel - Measurement Science and Technology, 2022 - iopscience.iop.org
The field of optical 3D metrology is gaining significant interest in the past years. Optical
sensors can probe the geometry of workpieces and biological samples very fast, highly …

GEMIMEG-II—How metrology can go digital

T Engel - Measurement Science and Technology, 2023 - iopscience.iop.org
The GEMIMEG-II project is intended to pave the way for digitalization in metrology. The
central element of this digitalization initiative is the digital calibration certificate (DCC). It …

A novel art gesture recognition model based on two channel region-based convolution neural network for explainable human-computer interaction understanding

P Li, L Zhao - Computer Science and Information Systems, 2022 - doiserbia.nb.rs
The application development of hot technology is both an opportunity and a challenge. The
vision-based gesture recognition rate is low and real-time performance is poor, so various …

[HTML][HTML] Novel near E-Field Topography Sensor for Human–Machine Interfacing in Robotic Applications

DJ Skoraczynski, C Chen - Sensors, 2024 - mdpi.com
This work investigates a new sensing technology for use in robotic human–machine
interface (HMI) applications. The proposed method uses near E-field sensing to measure …

[HTML][HTML] Detecting safety anomalies in pHRI activities via force myography

U Zakia, C Menon - Bioengineering, 2023 - mdpi.com
The potential application of using a wearable force myography (FMG) band for monitoring
the occupational safety of a human participant working in collaboration with an industrial …

Data Quality in IoT Temperature Sensor Systems: Demonstrated on Time-Dependent Temperature Fluctuations

T Ruhland, A Tobola, C Scholl, M Lübke… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
The growing integration of the Internet of Things (IoT) in Industry 4.0 is primarily attributed to
its low cost and high adaptability. Our research addresses the expansive application of IoT …

Simulation Modeling and Optimization Distribution Method for Large-Scale Deployment of Robot Proximity Sensor Arrays Based on Spatial Segmentation (February …

G Xue, G Chen, L Sun, H Liu - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
When deploying a large-scale proximity sensor array on robots, quantifying and evaluating
the perception domain becomes a challenging task due to the coupling effects of factors …

AcouSkin: Full Surface Contact localization Using Acoustic Waves

AK Kosta, A Burns, S Rupavarharam… - 2023 IEEE/RSJ …, 2023 - ieeexplore.ieee.org
Contact sensing and localization capabilities that mimic human skin are highly desirable for
robots. In this paper, we introduce AcouSkin, an acoustic wave based full surface contact …

[HTML][HTML] An Integrated Framework for Data Quality Fusion in Embedded Sensor Systems

C Scholl, M Spiegler, K Ludwig, BM Eskofier, A Tobola… - Sensors, 2023 - mdpi.com
The advancement of embedded sensor systems allowed the monitoring of complex
processes based on connected devices. As more and more data are produced by these …