With the development of artificial intelligence, the application of unmanned ground vehicles
(UGV) in outdoor hazardous scenarios has received more attention. However, the terrains in …

Job allocation among the robots is a significant challenge in a multi‐robot environment. This
article proposes a distributed algorithm for job allocation with deadline constraints. It works …

Deep Reinforcement Learning (DRL) methods are inefficient in the initial strategy
exploration process due to the huge state space and action space in large-scale complex …

Purpose This study aims to propose an efficient dual-robot task collaboration strategy to
address the issue of low work efficiency and inability to meet the production needs of a …

While individual robots are becoming increasingly capable, with new sensors and actuators,
the complexity of expected missions increased exponentially in comparison. To cope with …

To enhance the travel experience of tourists and make the shortest travel personalized
route, an innovative personalized route optimization method based on a deep, intelligent ant …

This work explores advanced data structures as a means of optimizing algorithmic efficiency
in high-performance computing. The search for faster and more scalable algorithms …

Intelligent manufacturing represents the development direction of ad-vanced technologies in
the field of engineering in the future. The intelligent manufacturing comprehensive training …