Online incremental learning of manipulation tasks for semi-autonomous teleoperation
We present an approach for online incremental learning of manipulation tasks. A Bayesian clustering algorithm is used to build an online hidden semi-Markov model (HSMM) that captures state transition and state duration probabilities of demonstrated motions. Motions are then generated by stochastical...
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| Format: | Conference item |
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Institute of Electrical and Electronics Engineers
2016
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