3 accepted papers
This paper proposes a safety critical nonlinear model predictive control (NMPC) to track a target in an obstacle-existing scene for a car-like robot with a limited detection ability. A temporary artificial reference within the detection region is employed as a temporary target to reduce the meaningl
The rapid growth of publicly available data has fueled deep learning advancements but also raises concerns about unauthorized data usage. Unlearnable Examples (UEs) have emerged as a data protection strategy that introduces imperceptible perturbations to prevent unauthorized learning. However, most…
In the field of domain generalization, the task of constructing a predictive model capable of generalizing to a target domain without access to target data remains challenging. This problem becomes further complicated when considering evolving dynamics between domains. While various approaches have…