Parking occupancy estimation holds significant potential in facilitating...
Garments are important to humans. A visual system that can estimate and ...
Are large language models (LLMs) like GPT-3 psychologically safe? In thi...
This paper introduces the Generalized Action Governor, which is a superv...
Due to the development of deep learning-based denoisers, the plug-and-pl...
The action governor is an add-on scheme to a nominal control loop that
m...
In this paper, we introduce a set-theoretic approach for mobile robot
lo...
Building an independent misspelling detector and serve it before correct...
Skin cancer, the most commonly found human malignancy, is primarily diag...
Reinforcement Learning (RL) is essentially a trial-and-error learning
pr...
We propose a game theoretic approach to address the problem of searching...