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ILIAD project has been successfully completed!

INNOVATION ROBOTICS WORK

TUM and project partners have completed 4.5 years of research. The ILIAD project was funded by the European Union’s Horizon 2020 research and innovation program and developed robotic solutions that can integrate with current warehouse facilities, extending the state of the art to achieve self-deploying fleets of heterogeneous robots in multiple-actor systems.

 

TUM and project partners have successfully completed the ILIAD project. The main goal was to enable the transition to automation of intralogistic services with key stakeholders especially from the food distribution sector and all the work has been completed according to the project plan. Thanks to the funding from the European Union’s Horizon 2020 research and innovation program, ILIAD developed robotic solutions that can integrate with current warehouse facilities, extending the state of the art to achieve self-deploying fleets of heterogeneous robots in multiple-actor systems. The consortium addressed different research challenges such as life-long self-optimization, manipulation from a mobile platform, efficient and safe operation in environments shared with humans and efficient fleet management with formal guarantees.

TUM has contributed to the project by ensuring human safety during mobile system motions in dynamic environment as well as robotic grasping and manipulation. For this, we extended our previous safety algorithms and the existing data on human injury in robotics by comprehensive literature review of injury data and a thorough risk analysis followed by crash-testing simulations and experiments. The new database of biomechanics injury is used for shaping the robot velocity in order to prevent human injuries even in the case of collisions. The proposed safety algorithms guarantee a safe and high-performance motion of robots. The final review meeting was planned on 14.07.2021 and the reviewers admired the great achievements by the consortium.

The project has received funding under European Union’s Horizon 2020 research and innovation program, grant agreement No 732737.


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Are you a journalist? For press inquiries, contact Christine Lehner | +49 89 289 25439 | christine.lehner@tum.de