Predictive control of grip force and learning of different object dynamics in collision task

(2016)

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Abstract
The objective of the work is to investigate experimentally the grip force adjustment and learning during bimanual passive collisions using a virtual environment created by the Kinarm End point robot. Different objects dynamics will be used such as soft or stiff objects in order to provide different impact intensities of collisions.