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- W1524378977 abstract "Discrete event recognition based on force measurements in the frequency-domain, is presented. The force signals arise from interaction between the workpiece and the environment in a planar assembly task. The discrete events are modeled as hidden Markov models (HMMs), where the models are trained off-line with the Baum-Welch re-estimation algorithm. After the HMMs have been trained, we use them online in a robotic system to recognise discrete events as they occur. Event recognition with an accuracy as high as 98% was accomplished in 0.5-0.6 s with a relatively small training set." @default.
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- W1524378977 date "2002-12-23" @default.
- W1524378977 modified "2023-09-23" @default.
- W1524378977 title "Frequency-domain force measurements for discrete event contact recognition" @default.
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- W1524378977 doi "https://doi.org/10.1109/robot.1996.506865" @default.
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