Abstract: Although many studies exist on mobile robot path planning, the disadvantages of complex algorithms and many path nodes in logistics warehouses and manufacturing workshops are obvious, mainly ...
Abstract: Efficient Multi-Agent Path Finding (MAPF) is pivotal for warehouse logistics. While existing learning-based methods primarily rely on computationally intensive grid-based representations, ...
During evacuation drills, we are told to "flee to high ground," but if everyone rushes to the same shortest route, can we really escape in time? In school evacuation drills, it is standard practice to ...
† Department of Physics, North Carolina State University, Raleigh, North Carolina 27695, United States ‡ Department of Chemistry and Biochemistry, University of Arkansas, Fayetteville, Arkansas 72701, ...
In dense, rapidly expanding urban areas like Ho Chi Minh City, public bus transit systems face several core challenges that deter passenger ridership and complicate route planning: ...
I am fascinated about the idea of building intelligent systems that can help humans (and why not, other intelligent agents) on their daily tasks. This goal is ambitious, challenging, inspiring, and ...
3.1 Ant colony optimization Ant Colony Optimization (ACO) is a swarm intelligence–based and heuristic search optimization algorithm, originally proposed by the Italian researcher Marco Dorigo in 1992.
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