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research:projects [2017/11/03 09:59]
Justus Piater
research:projects [2017/11/11 13:03] (current)
Justus Piater
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 ===== Current Projects ===== ===== Current Projects =====
  
-[[https://​www.profactor.at/​en/​research/​industrial-assistive-systems/​roboticassistance/​projects/​flexrop/​|FlexRoP - Flexible, assistive robot for customized production]] (FFG (Austria) ICT of the Future, 2016-2018): Production of mass customized products is not easy to automate since objects and object positions remain more uncertain compared to mass production scenarios. Uncertainty handling motivates the application of advanced sensor-based control strategies which increases system complexity of robot applications dramatically. A possible solution to this conflict is the concept of task level or skill based programming that will render modern robot systems. Such systems can be applied without safety fence, are easier to program, more applicable and transformable into capable robot assistants. The project will implement a skill based programming framework and will apply it on selected industrial demo scenarios and evaluate research results. The main focus of the project is the application of methods to acquire process information by worker monitoring and thus make the robot assistants self-learning.+{{:​research:​flexrop-logo.png?​nolink&​200 ||}}[[https://​www.profactor.at/​en/​research/​industrial-assistive-systems/​roboticassistance/​projects/​flexrop/​|FlexRoP - Flexible, assistive robot for customized production]] (FFG (Austria) ICT of the Future, 2016-2018): Production of mass customized products is not easy to automate since objects and object positions remain more uncertain compared to mass production scenarios. Uncertainty handling motivates the application of advanced sensor-based control strategies which increases system complexity of robot applications dramatically. A possible solution to this conflict is the concept of task level or skill based programming that will render modern robot systems. Such systems can be applied without safety fence, are easier to program, more applicable and transformable into capable robot assistants. The project will implement a skill based programming framework and will apply it on selected industrial demo scenarios and evaluate research results. The main focus of the project is the application of methods to acquire process information by worker monitoring and thus make the robot assistants self-learning.
  
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research/projects.1509699573.txt.gz · Last modified: 2017/11/03 09:59 by Justus Piater