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- W2134506699 abstract "This paper presents a feedforward control strategy for a robotic manipulator based on a belief function. The belief about a target's next location, as described by a probability density function, is maintained by a recursive Bayesian process that fuses observations with a target motion model. A sensor model that incorporates positive and negative sensor readings allows the single belief function to be used to deliver both searching and tracking behaviors. Constrained non-linear optimization is used to search configuration space for the control action that maximizes the subsequent probability of detection. To demonstrate application of the technique, a simple example is elaborated for a searching and tracking task with an eye-in-hand sensor" @default.
- W2134506699 created "2016-06-24" @default.
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- W2134506699 date "2006-10-01" @default.
- W2134506699 modified "2023-09-25" @default.
- W2134506699 title "Belief Driven Manipulator Control for Integrated Searching and Tracking" @default.
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- W2134506699 doi "https://doi.org/10.1109/iros.2006.282523" @default.
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