We developed an application that can easily calculate the nutritional content of a meal by utilizing our multimedia recipe dataset tied to the Nutrition Facts table and an ingredient estimation model. A CLIP-based image recognition model and an ...

The large language models (LLMs) that everyone is using are not deployed locally. Users need to send relatively private and important data to LLM when using it. Handing over private and important data to LLM will cause people to worry, especially now ...

We aim to develop an application that automatically creates a nutrition facts label from food images for precise dietary control. Firstly, we constructed a new dataset with food category labels and a list of ingredients in a nutritionally calculable ...

This paper presents the design, control, and application of a novel six-legged skiing robot (SLSR) on flat and slope terrains. Imitating human skiing behavior, a unique ski with 5 degrees of freedom (DOFs) is designed, where the front and rear ...

Robot global localization is a significant and challenging problem. The popular filter-based methods such as Monte Carlo Localization (MCL), which cover the entire state space with particles, have the problem of high computational cost especially ...

With respect to robot self-positioning, this study reports that the map feature extraction algorithm based on Euclidean distance is improved, the processing of outliers and class division points in line segment landmark fitting is added, and the slope and ...