Tactile interfaces are essential for enhancing human-machine interactions, yet achieving large-scale, precise distributed force sensing remains challenging due to signal coupling and inefficient data processing. Inspi...
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Tactile interfaces are essential for enhancing human-machine interactions, yet achieving large-scale, precise distributed force sensing remains challenging due to signal coupling and inefficient data processing. Inspired by the spiral structure of Aloe polyphylla and the processing.principles of neuronal systems, this study presents a digital channel-enabled distributed force decoding strategy, resulting in a phygital tactile sensing system named PhyTac. This innovative system effectively prevents marker overlap and accurately identifies multipoint stimuli up to 368 regions from coupled signals. By integrating physics into model training, we reduce the dataset size to just 45 kilobytes, surpassing conventional methods that typically exceed 1 gigabyte. Results demonstrate PhyTac's impressive fidelity of 97.7% across a sensing range of 0.5 to 25 newtons, enabling diverse applications in medical evaluation, sports training, virtual reality, and robotics. This research not only enhances our understanding of hand-centric actions but also highlights the convergence of physical and digital realms, paving the way for advancements in AI-based sensor technologies.
The dynamic geographical shape of a river provides a unique challenge in adopting an autonomous hovercraft-like robot for river monitoring. Specifically, performing the mapping and localization task in such an environ...
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ISBN:
(纸本)9781665485296
The dynamic geographical shape of a river provides a unique challenge in adopting an autonomous hovercraft-like robot for river monitoring. Specifically, performing the mapping and localization task in such an environment is non-trivial. Few factors need to be considered including the dynamic of the hovercraft and the severity of the surrounding environment. In this study, an investigation was carried out to evaluate the performance of a visual simultaneous localization and mapping (SLAM) technique in generating the environment model of a simulated river. The main objective of this study is to build a SLAM system of a hovercraft such that the robot can traverse the river surface autonomously. A depth camera was used as the visual sensor, and acts as the main odometry in the process of mapping and localization of the hovercraft. Data from the visual sensor was tuned and optimized to adapt to the river surface environment. The performance of the tuned SLAM was measured by comparing several configuration settings to get the best output. The result of this study shows that with proper tuning and optimization, a SLAM technique can be used to generate an accurate river surface map and monitor the hovercraft trajectories.
A fast FBG sensor interrogator on chip based on SOI ring resonator (RR) filters is presented. The measurement of the Bragg wavelength shift is based on the detection of multiple signals at the output ports of the RR f...
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A fast FBG sensor interrogator on chip based on SOI ring resonator (RR) filters is presented. The measurement of the Bragg wavelength shift is based on the detection of multiple signals at the output ports of the RR filter, providing fast dynamic strain measurement capabilities, fundamentally limited by the photodetector bandwidth and signalprocessing. The ring resonator resonance wavelength is tuned and fixed by an integrated heater and the ring acts as a passband filter for the reflected FBG spectrum. After a theoretical analysis of the interrogation method, which allows the optimization of the RR characteristics depending on the specific application and requirements, we present experimental results on a single RR based interrogation scheme applying high frequency dynamic strain up to 40 kHz. We also theoretically evaluate the performance of multi-ring resonators. The proposed scheme provides low cost, high scalability to mass-volume market applications as well as an extremely fast interrogation method.
The automotive industry is transitioning towards intelligent, connected, and autonomous vehicles to avoid traffic congestion, conflicts, and collisions with increased driver safety. Connected and autonomous vehicles (...
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The automotive industry is transitioning towards intelligent, connected, and autonomous vehicles to avoid traffic congestion, conflicts, and collisions with increased driver safety. Connected and autonomous vehicles (CAV) must be aware of their surroundings and act as per their environment. Communication infrastructure can be vital in transmitting necessary information to peers and receiving critical information for timely decisions. This article provides a comprehensive review of the topic, covering the aspects of enabling wireless technologies and sensor fusion. The article reviews data acquisition using various sensing devices such as RADAR (Radio Detection and Ranging), LiDAR (Light Detection and Ranging), cameras, and multi-modal sensor fusion of the acquired data after signalprocessing. Thereafter, it reviews the communication and networking infrastructure for intra- and inter-vehicle communication and related technologies. For each of these themes, research challenges and future directions have been identified.
Project BROADCAST will deliver a new class of powerful soft, biomimetic systems that can interact with their environment in a save, bio-inspired way. The approach is based on major advances in the production technolog...
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ISBN:
(数字)9781510671973
ISBN:
(纸本)9781510671973;9781510671966
Project BROADCAST will deliver a new class of powerful soft, biomimetic systems that can interact with their environment in a save, bio-inspired way. The approach is based on major advances in the production technology of dielectric elastomers (DE) circuitry, new soft electronic materials, and new approaches in signalprocessing. BROADCAST investigates multi-functional DEs that drive robotic structures based on bio-inspired electro-mechanical control strategies such as central pattern generators, autonomous peristalsis, locomotion and similar others. This requires new materials for flexible electrodes and sensors that provide curtailed electrical and electro-mechanical properties, such as Young's modulus, conductivity and piezoresistivity. These materials will provide new features in robotics such as sensorless system where the DEA will act both as an actuator and a sensor by providing continuous feedback in real-time.
Rapid progress in the development of technological and computational tools has motivated substantial changes in the educational approach to the different disciplines of signal, image, and video processing. Moreover, t...
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Rapid progress in the development of technological and computational tools has motivated substantial changes in the educational approach to the different disciplines of signal, image, and video processing. Moreover, the parallel evolution of sensor systems, data acquisition methods, and computational intelligence has emphasized the importance of signalprocessing.and information engineering, particularly its role in integrating different scientific disciplines through the use of a common set of tools and underlying mathematics. Modern educational courses follow these trends and generally combine the teaching of fundamental computational methods of signal and system modeling with applications to selected case studies. The unifying idea is to apply similar mathematical methods for data processing.in completely diverse areas. Emerging methods used in education contribute to this progress, and they provide opportunities to bring together specialists from different disciplines. New technologies facilitate real or virtual activities through excursions to remote laboratories, allowing the demonstration of robotic and speech recognition systems, for example. Participation in seminars, videoconferences, and discussions during colloquia meetings, when included in educational courses, can form further progressive and attractive teaching methods for the rapidly developing interdisciplinary area of signalprocessing.
Exoskeletons and other wearable devices benefit from sensor systems that are based on biofeedback for detecting muscle activity. However, such sensor systems in wearable applications are often impractical due to the n...
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ISBN:
(纸本)9798350309799
Exoskeletons and other wearable devices benefit from sensor systems that are based on biofeedback for detecting muscle activity. However, such sensor systems in wearable applications are often impractical due to the need for direct skin contact or due to non-linear signal output, both requiring extensive calibration and post-processing. This paper presents a compact and robust barometer-based pressure sensor unit for detecting surface muscle pressure in an exoskeleton interface shell that is light, thin and does not require direct contact with the skin. It consists of an array of five miniature barometric sensors mounted on a custom embedded printed circuit board enclosed in a silicon dome. Evaluation of this sensor unit in a controlled experimental setup showed high sensitivity and an almost linear response to the normal force applied to the silicon dome. Additionally, a pilot study was conducted with four participants in a wearable application to compare the performance of the proposed sensor with that of electromyography (EMG). The results showed higher robustness to positioning, consistent signal, low variance and inter-subject variability compared to EMG.
作者：
Flak, PrzemyslawSilesian Tech Univ
Fac Automat Control Elect & Comp Sci PhD Sch Dept Automat Control & Robot PL-44100 Gliwice Poland
Radio Frequency (RF) spectrum monitoring and broadband signal analysis have multiple application areas, especially in the era of a constantly growing number of wireless devices. One of the essential challenges for a s...
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Radio Frequency (RF) spectrum monitoring and broadband signal analysis have multiple application areas, especially in the era of a constantly growing number of wireless devices. One of the essential challenges for a spectrum sensor is to achieve an adequate measurement rate over a wide bandwidth to detect signals of short duration so that a low latency response can be provided. In procedures that require field measurements, and some compromise in accuracy is acceptable, low-cost Software Defined Radio (SDR) devices can be used instead of expensive and bulky professional spectrum analyzers. This paper introduces a real-time swept spectrum sensor based on LimeSDR-USB with custom embedded Field Programmable Gate Array (FPGA) firmware, designed to outperform similar software implementations. The Welch's spectral density estimation is implemented in hardware to minimise the USB transfer rate and offload the host PC signalprocessing. Furthermore, the frequency tuning state machine and cache calibration memory are also managed by the FPGA to reduce the blind time during broadband sweep. The performance of the proposed solution indicates up to 96 MHz of real-time bandwidth along with a capability of less than millisecond cumulative sweep time per gigahertz. The characteristics of various design elements are investigated and refined during simulation and laboratory measurements, whereas the final prototype implementation is verified in real-world scenarios. The results demonstrate the effectiveness of the proposed device as a sensor for propagation studies, multiband spectrum utilisation monitoring, and spectral white spaces detection.
This paper presents a non-destructive metal classification system, which is based on magnetic induction and mutual impedance measurement technology. The detection system mainly consists of a signal source, a power amp...
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In this paper we report the application of a laser speckle odometer to a mobile industrial robot in a typical factory floor environment. The suitability of typical floor surfaces and features is assessed in terms of t...
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