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Although resonant vibration in the ultrasonic frequency range is thought as a power-intensive way for actuation, its application to untethered miniature mobile robots is still challenging because of lacking the onboard circuit that produces the ultrasonic signals with modulatable frequencies, voltages, and phases. To tackle this problem, first, the ultrasonic transducers whose longitudinal/bending vibrations share a common node was made to steadily support other components. Second, an onboard circuit was designed to convert the battery’s DC signal into multi-channels of ultrasonic signals amplified in a multi-level manner. Third, these components were compactly integrated to developed an untethered ultrasonic robot (U2sonobot) with fast, flexible, and load-carriable movements. The prototype was 54 × 52 × 46 mm3 in size and 76.5 g in weight, and its moving/carrying performance was assessed. At 59.3 kHz frequency, it yielded the maximal speed of 221 mm/s and the minimal step displacement of 0.3 μm. According to the wirelessly-received commands, it produced the flexible movements (e.g., those with adjustable speed/steering-radii and in-situ rotations) and climbed 8.9° slope. Moreover, it carried the maximal payload of 520 g and provided the minimal cost of transport of 3.9. The optical focusing/scanning system is a candidate application area for U2sonobot.
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With the development and implementation of convolutional neural networks in pattern recognition, there are large number of parameters needs to calculate and storage, which makes the algorithm hard to run in common computer.
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33 Views
This paper presents a vehicle side wireless synchronization controller suitable for high-power inductive power transfer (IPT) systems for electric vehicle (EV) wireless charging under stationary and semi-dynamic conditions. The objective of this work is to enable improved functionality, efficiency, and power density of high-power IPT systems under misaligned conditions. An existing 50 kW LCL-LCL tuned IPT system with dual active bridges (DAB) demonstrates the controller’s performance.
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208 Views
This repository stores the supplementary material associated to the work "Empirical Validation of a Class of Ray-Based Fading Models". That work is related with stocastich channel characterization and empirical validation. Three alternative scenarios are studied: anechoic and reverberation chambers, and indoor environments. Through the generation of linear combinations of different path measurements, a large amount of possible configurations appear for each one. In order to support the content of this work, several animations have been carried out.
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Dronescape presents a dataset comprising 25 drone videos showcasing vast areas filled with trees, rivers, and mountains. The dataset includes two subsets: 25 videos with tree segmentation and 25 videos without tree segmentation, offering diverse perspectives on the presence and absence of segmented tree regions. The dataset focuses on highlighting the regions containing trees using the SAM (Segment Anything Model) and Track Anything library. Video object tracking and segmentation techniques are utilized to track the regions of trees throughout the dataset.
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661 Views
Integrative Augmented Reality Gaming: Immersive Human-Machine Interaction
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208 Views
<p>Legged robots have demonstrated high potential when dealing with rough terrain, for which an efficient motion planner becomes crucial. This paper presents a novel approach for quadrupedal robot motion planning on rough terrain, which is both conceptually straightforward and computationally efficient. Implementing the concept of workspace constitutes the cornerstone of this method: both body poses and swing-leg footholds are chosen within their corresponding workspace.
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This dataset investigates the suitability of different filters for Learning-Based Motion Magnification (LBMM) and examines the impact of filter parameters on output results. The study finds that the Butterworth filter produces satisfactory results, while the analysis of IIR filters is unsatisfactory due to computational and memory limitations. Additionally, the efficacy of IIR filters for image processing and the reliability of FIR filters are called into question.
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The Autofocus Projector Dataset is a collection of 555 images and 150 videos captured while projecting images and videos with varying levels of Gaussian blur. The dataset includes images and videos of different blur levels, ranging from fully focused to the maximum levels of left and right Gaussian blur as per the projector's specifications. The dataset was recorded using a Redmi Note 11T 5G mobile camera with a 50 MP, f/1.8, 26mm (wide) sensor, PDAF image camera, and 1080p@30 fps video camera.
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273 Views
Wearable long-term monitoring applications are becoming more and more popular in both the consumer and the medical market. In wearable ECG monitoring, the data quality depends on the properties of the electrodes and on how they contact the skin. Dry electrodes do not require any action from the user. They usually do not irritate the skin, and they provide sufficiently high-quality data for ECG monitoring purposes during low-intensity user activity. We investigated prospective motion artifact–resistant dry electrode materials for wearable ECG monitoring.
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