Abstract
A framework for force and visual control of robot manipulators in contact with a partially known environment is proposed. The environment is modelled as a rigid object of known geometry but of unknown and time-varying pose. An algorithm for online estimation of the object pose is adopted, based on visual data as well as on force measurements. This information is used by a force/position controller. The resulting control scheme has a inner/outer structure where the outer loop performs pose estimation and the inner loop is devoted to interaction control.
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Lippiello, V., Siciliano, B., Villani, L. (2010). A Framework for Force and Visual Control of Robot Manipulators. In: Kaneko, M., Nakamura, Y. (eds) Robotics Research. Springer Tracts in Advanced Robotics, vol 66. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14743-2_31
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DOI: https://doi.org/10.1007/978-3-642-14743-2_31
Publisher Name: Springer, Berlin, Heidelberg
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