Explore projects
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Self-driving vehicles can suggest intelligent leisure appointments for a ride with a customer based on certain environmental conditions.
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Give the passenger the possibility to find the best fitting car for his ride.
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Measures the light intensity of the environment, to determine whether the ride is at night or during the day, or if there is a sudden change in light intensity, which determines the adjustment of speed to keep the driver safe.
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Performing a "Slalom".
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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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An universal solution for a self-parking mechanism with autonomous parking place discovery.
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A system that enables to control a cyber-physical-system (CPS) with gestures.
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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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The CPS is driving around virtual Vienna, relocating itself between different Point of Interests (POIs).
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The integration of a subsequent price adjustment under consideration of autonomous technologies enables the service provider to guarantee a high quality of car sharing service.
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The user can manually intervene in the self-driving process at any moment should he/she so desire.
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The car-sharing provider’s cars can monitor their own state in terms of the viral load on the inside of the car and communicate it to potential customers
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Personal routing - offer the routing with choices, where a user can store his personal preferences for a route.
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An intelligent priority queue system for car sharing services.
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The customer gets a dynamic price (rental car) generated based on the current environmental factors.
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Mixing a cocktail.
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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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