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new functionalities for the s*IoT methodology: Generate Components from Capabilities & Generate Capabilities from Components
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The aim of this project is to provide a universal model based solution for automatic route planning and picking job execution in warehouse environments.
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The aim of this project is to provide a universal model based solution for automatic route planning and picking job execution in warehouse environments.
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Increasing the functionality of the model execution environment with feedback messages.
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The concept of “Smart” models is used to allows the creation of models that are easy to understand and reproduce for humans and can be read by a machine. Example: Coffee/Tea Making
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Scenarios: smart light outdoor system, smart driveway of a house, access management for a swimming-pool
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Records and streams a table soccer game and analyses certain things in parallel and in real time.
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Automatization of the order preparation processes in an online grocery store’s warehouse using robotic workers.
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Makeblock Rover & DOBOT RobotArm - Making a pizza
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Control robots with the help of a camera system to get to a specific location and check if an item is located at the target location.
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A system that enables to control a cyber-physical-system (CPS) with gestures.
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An universal solution for a self-parking mechanism with autonomous parking place discovery.
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Validate the use of fuzzy logic to make an agent autonomously balance itself on a balance board, with the help of readings from a rotation sensor.
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To model a receipt for a burger in ADOxx and after the receipt is finished the DoBot should be controlled to stack the burger in the right order.
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Dobot should be able to play simple songs on the piano.
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robot car & arm: The simulation of a delivery process in warehouses.
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