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- W2077891251 abstract "The development of anthropomorphic robots for simple autonomous operations such as grasping of tools requires algorithms for automatic recognition and pose estimation of the objects. Correlation-based pattern recognition offers a robust set of tools for pose-specific detection and identification of objects. This paper discusses a system-level approach to image understanding whereby a robot is provided with training data (in the form of a computer model and an associated matched filter set), is presented with a view of the target object, and is expected to indicate recognition and to calculate a six degree-of-freedom pose estimate for the object. The pose information would then be used to specify a grasping orientation for the robot's hand. Examples are given of a proof-of-concept demonstration of an approach for an anthropomorphic robot developed at the Johnson Space Center." @default.
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- W2077891251 date "2002-06-13" @default.
- W2077891251 modified "2023-09-23" @default.
- W2077891251 title "<title>Pose estimation for autonomous robotic grasping</title>" @default.
- W2077891251 doi "https://doi.org/10.1117/12.470109" @default.
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