Supervisory teleoperation with online learning and optimal control
We present a general approach for online learning and optimal control of manipulation tasks in a supervisory teleoperation context, targeted to underwater remotely operated vehicles (ROVs). We use an online Bayesian nonparametric learning algorithm to build models of manipulation motions as task-pa...
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| Format: | Conference item |
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Institute of Electrical and Electronics Engineers
2017
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