This research introduces a VSLAM framework that optimizes obstacle avoidance in indoor logistics, leveraging advanced ...

Abstract: With the development of deep learning, the traditional approach of manually designing network archi-tectures and determining parameters inevitably loses its reliance on expert systems, which ...

Abstract: Multi-objective optimization has received increasing attention over the past few decades, and a large number of nature-inspired metaheuristic algorithms have been developed to solve ...