To improve the measurement precision of the optical encoder working at various speeds, an adaptive high-precision measurement framework is designed based on deep reinforcement learning (DRL), ...

Can multimodal encoder evolve when facing increasingly tough circumstances? Our work investigates this possibility in the context of continuous vision-language navigation (continuous VLN), which aims ...

The ability to accurately interpret complex visual information is a crucial focus of multimodal large language models (MLLMs). Recent work shows that enhanced visual perception significantly reduces ...

The ability of two-in-one encoders to provide motor feedback and position measurement in one device are critical to the space and safety needs of collaborative robots.

Keywords: pain intensity classification, multiscale convolutional networks, transformer encoder, squeeze-and-excitation residual network, deep learning, EDA, temporal convolutional network, BioVid ...