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Our video action dataset is generated using a 3D simulation program developed in Unity. Each data sample consists of a video capturing a human performing various actions. Our initial set of actions comprises a total of 10 different yoga poses: camel, chair, child's pose, lord of the dance, lotus, thunderbolt, triangle, upward dog, warrior II, and warrior III. Within each of these 10 yoga poses, there are four variations, some exhibiting more pronounced differences than others. This results in a total of 40 action types within our dataset.

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.

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.

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.