The robot use the model to predict when the object will break contact given its mass. We evaluated four different autoregressive hidden Markov models for representing manipulations with mass-dependent mode switches. The models were successfully evaluated on pushing and lifting tasks. The evaluations show that the predicted object trajectories and interpolate between different masses, and that consider the observed state for estimating the mode switches.
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