AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
This work introduces Pivot-and-Station Multi-Agent Path Finding (PS-MAPF), a MAPF variant in which a subset of tasked agents must each visit one of a set of interchangeable pivots before the entire fleet terminates at anonymous stations, one agent per station.
A hybrid architecture with decentralized path planning and supervisory coordination is proposed for multi-Automated Guided Vehicle (AGV) systems operating in realistic, non-standardized (i.e., non grid-like) automated warehouses characterized by bidirectional roads and complex layouts. The method combines hierarchical...
The coordination of Automated Guided Vehicles (AGVs) in high-density industrial environments represents a critical challenge within Logistics 4.0, as traditional traffic management methods often lead to inefficiencies caused by negotiation-based priority assignment. To overcome the resulting limitations, this paper pre...
The Colored Traveling Salesman Problem (CTSP) is a seminal generalization of the Multiple TSP, where colors represent the heterogeneity of salesmen and their city visits. This work presents a time-critical extension, termed the Time-Critical CTSP (T-CTSP). By emphasizing the timing of visits, T-CTSP explicitly captures...
Cross-border trade is growing fast. The same is true for urban distribution, e-commerce fulfillment, port transfer, and cold-chain transportation. Because of that, land-logistics decisions need to be workable in practice and flexible enough to adjust, especially in heavy-traffic places like Singapore. This study sets o...
We present a tractable approach to grid-based multi-agent path planning for inspection tasks that minimizes task completion time. We require all agents to collectively inspect all targets while (i) maintaining a user-defined separation distance, (ii) returning to charging stations as needed, and (iii) avoiding obstacle...
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