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Titlebook: Gearing Up and Accelerating Cross‐fertilization between Academic and Industrial Robotics Research in; Technology Transfer Florian Röhrbein

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Avionik und Flugsicherungstechnikether European robotics manufacturers with the excellent European research institutions. Europe has a very strong robot industry and there is significant research potential as well as technological knowledge. There has been a long history of outstanding research and development in both robot manufac
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Alternative, Sustainable and Nuclear Energy,ositions building components in-situ. Developed by the research group of Gramazio & Kohler at ETH Zurich, this approach offers unique advantages over traditional building technology: it fosters non-standard building processes, it can be directly applied on the construction site and it is easily scal
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https://doi.org/10.1057/9781137325891ffic control problem exploiting coordination diagrams and taking into account all the constraints holding in real plants. We propose a novel traffic manager that, besides efficiently controlling the coordinated motion of the AGVs, can dynamically change the paths the robots are following. The TRAFCO
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Definition of Malpractice: Negligence, of view. It specifically asks, how the user’s implicit knowledge about the scene and the task can be transferred effectively to the robot through kinesthetic teaching. It proposes a new method to visualize the implicit scene model conveyed by the user when teaching a respective inverse kinematics a
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Generational Learning and Foreign Policy,system including active object perception and grasp planning for bin picking with a mobile robot. At the core of our approach is an efficient representation of objects as compounds of simple shape and contour primitives. This representation is used for both robust object perception and efficient gra
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Craig N. Czyz,Morris E. Hartsteinin-picking applications. We propose an approach that is able to generate good grasps automatically using a dynamic grasp simulator, a newly developed robust grasp quality measure and post-processing methods. In addition we present an offline learning approach that is able to adjust grasp priorities
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https://doi.org/10.1057/9780230597310l construction, and sensor equipment complexity. Recent results on the organization of the human hand in grasping and manipulation are the inspiration for this experiment. The reduced set of parameters that we effectively use to control our hands is known in the literature as the set of synergies. T
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