Japanese researchers develop an adaptive robot motion system that enables human-like grasping using minimal training data.
Despite rapid robotic automation advancements, most systems struggle to adapt their pre-trained movements to dynamic ...
Despite rapid robotic automation advancements, most systems struggle to adapt their pre-trained movements to dynamic ...
ABSTRACT: The objective of this study was to assess the contribution of insurance penetration to economic growth in the Democratic Republic of Congo (DRC) during the ...
2024.12.21 -- Our paper is accepted by ICASSP2025. We have released the model checkpoints at here. The camera-ready version of the paper will be released before 13 Jan 2025, incorporating minor ...
Abstract: Artificial neural network (ANN) is a useful technique for active device modeling. However, it shows limitations in the extrapolation region. To address this issue, we propose a novel ...
Do you need the flexibility of a Windows-powered handheld, or should you stick to Nintendo's tried-and-true hardware? We pit the Switch 2 against two key rivals from Asus and Lenovo to help you decide ...
Abstract: Channel estimation and extrapolation are key challenges in massive multiple-input multiple-output communications. In this paper, we propose a quasi-Newton-based joint multipath optimization ...