Co-manipulation with a Library of Virtual Guiding Fixtures

Abstract : Virtual guiding fixtures constrain the movements of a robot to task-relevant trajectories, and have been successfully applied to, for instance, surgical and manufacturing tasks. Whereas previous work has considered guiding fixtures for single tasks, in this paper we propose a library of guiding fixtures for multiple tasks, and propose methods for 1) Creating and adding guides based on machine learning; 2) Selecting guides on-line based on probabilistic implementation of guiding fixtures; 3) Refining existing guides based on an incremental learning method. We demonstrate in an industrial task that a library of guiding fixtures provides an intuitive haptic interface for joint human-robot completion of tasks, and improves performance in terms of task execution time, mental workload and errors.
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Contributor : Gennaro Raiola <>
Submitted on : Tuesday, June 18, 2019 - 12:48:23 PM
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  • HAL Id : hal-02158827, version 1


Gennaro Raiola, S Restrepo, Pauline Chevalier, Pedro Rodriguez-Ayerbe, Xavier Lamy, et al.. Co-manipulation with a Library of Virtual Guiding Fixtures. Autonomous Robots, Springer Verlag, 2018. ⟨hal-02158827⟩



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