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This work presents an approach to data-driven motion generation for humanoid robots, which is based on the observation and analysis of human whole-body motions. To this end, we investigate how captured human motions can be represented, classified and organized in a large-scale motion database. The statistical modeling of the transitions between characteristic whole-body poses enables the subsequent generation of multi-contact motions.
Ganzkörperbewegung --- robotics --- motion generation --- Bewegungsgenerierung --- menschliche Bewegungsanalyse --- humanoid robotics --- human motion analysis --- Robotik --- humanoide Robotik --- whole-body motion
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