Marinus Danzer

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Robots providing meaningful services in unconstraint environments require advanced mobility, manipulation, sensing and perception capabilities. KUKA’s task in DESIRE was to develop robot arms and control hardware and software that are flexible with respect to the number of degrees of freedom and their connections to build kinematic chains and the type of(More)
We present a novel massively-parallel algorithm that allows real-time distance computations between arbitrary 3D objects and unstructured point cloud data. Our main application scenario is collision avoidance for robots in highly dynamic environments that are recorded via a Kinect, but our algorithm can be easily generalized for other applications such as(More)
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