We address the problem of estimating an external wrench acting along the structure of a robot manipulator, together with the contact position where the external force is being applied. For this, we consider the combined use of a force/torque sensor mounted at the robot base and of a model-based virtual sensor. The virtual sensor is provided by the residual vector commonly used for collision detection and isolation in human-robot interaction. Integrating the two types of measurement tools provides an efficient way to estimate all unknown quantities, using also the recursive Newton- Euler algorithm for dynamic computations. Different operative conditions are considered, including the special cases of point- wise interaction (pure contact force), known contact location, and of a base sensor measuring only forces. We highlight also the conditions for a correct estimation to be fully virtual, i.e., without resorting to a force/torque sensor. Realistic simulations assess the estimation performance for a 7R robot in motion, subject to an unknown external force applied to an unknown location.
Combining real and virtual sensors for measuring interaction forces and moments acting on a robot / Buondonno, Gabriele; DE LUCA, Alessandro. - STAMPA. - (2016), pp. 794-800. (Intervento presentato al convegno 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2016 tenutosi a Daejeon; South Korea nel 2016) [10.1109/IROS.2016.7759142].
Combining real and virtual sensors for measuring interaction forces and moments acting on a robot
BUONDONNO, GABRIELE;DE LUCA, Alessandro
2016
Abstract
We address the problem of estimating an external wrench acting along the structure of a robot manipulator, together with the contact position where the external force is being applied. For this, we consider the combined use of a force/torque sensor mounted at the robot base and of a model-based virtual sensor. The virtual sensor is provided by the residual vector commonly used for collision detection and isolation in human-robot interaction. Integrating the two types of measurement tools provides an efficient way to estimate all unknown quantities, using also the recursive Newton- Euler algorithm for dynamic computations. Different operative conditions are considered, including the special cases of point- wise interaction (pure contact force), known contact location, and of a base sensor measuring only forces. We highlight also the conditions for a correct estimation to be fully virtual, i.e., without resorting to a force/torque sensor. Realistic simulations assess the estimation performance for a 7R robot in motion, subject to an unknown external force applied to an unknown location.File | Dimensione | Formato | |
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Buondonno_Combining-Real-and_2016.pdf
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