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In combination, a-priori modeling and in-situ modeling provide complementary approaches to implement comprehensive digital models for robotic systems and services. Both, a-priori models (i.e. 3D digital models of prospective working environments) and in-situ models (i.e. 2D/3D maps built from sensor data), depend on the continuous and consistent aggregation and modification of massive amounts of data. Thus, way beyond the sporadic usage of CAD models and “rosbags”, future robotic systems and services will require highly performant digital models of relevant working environments in order to support novel large-scale/long-term robotic applications.