Real-time obstacle avoidance for manipulators and mobile robots
International Journal of Robotics Research
Evaluation of AGV routing strategies using hierarchical simulation
WSC '95 Proceedings of the 27th conference on Winter simulation
Robot Motion Planning
Automation of industrial vehicles: a vision-based line tracking application
ETFA'09 Proceedings of the 14th IEEE international conference on Emerging technologies & factory automation
Coordination by design and the price of autonomy
Autonomous Agents and Multi-Agent Systems
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In automated transport systems, the origin-destination combinations are normally connected through a fixed layout, not representing the shortest path. The flexibility of these systems is limited and often the infrastructure is not optimally used. With the introduction of more powerful onboard computers and advanced sensor technology, the positioning and navigating possibilities of AGVs increased. However the routes, although virtual, are still fixed. A new step ahead would be to determine each path dynamically. This would use the free ranging capacities of AGVs to its full potential. In this paper, the benefits of the dynamic free ranging approach are investigated; a simulation model on the strategic level is presented that compares several common fixed layouts with the shortest connection approach. Naturally, the avoidance of collisions plays a central role. It is concluded that dynamic free ranging has high potential in terms of transport capacity of the resulting system.