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ILIAD - Gradual Introduction of Autonomous Forklift Trucks Into Warehouses

Today, intralogistic services have to respond quickly to changing market needs, unforeseeable trends and shorter product life cycles. These drivers pose new demands on intralogistic systems to be highly flexible, rock-solid reliable, self-optimising, quickly deployable and safe, yet efficient in environments shared with humans. In this presentation I will report on ILIAD, an H2020 project that set out to enable the transition to automation of intralogistic services in the food distribution sector, where the challenges mentioned are particularly pressing. ILIAD develops robotic solutions that can integrate with current warehouse facilities, extending the state of the art to achieve self-deploying fleets of heterogeneous robots; life-long self-optimisation; manipulation from a mobile platform; efficient, legible and safe operation in environments shared with humans; and efficient fleet management with formal guarantees. I will present first results obtained regarding tracking and analysing humans; quantifying map quality; learning activity patterns inferred from long-term observations; action and intention recognition for improved human-robot interaction; and integration of task allocation, coordination and motion planning for heterogeneous robot fleets.

Prof. Dr. Achim J. Lilienthal, Mobile Robot and Olfaction Lab, Örebro Universitet







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