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A multi-trainee architecture for haptic hands-on training

Abstract : Haptic simulators are used in many education domains to improve hands-on training performance. Many of these simulators are used in the medical domain, where it is particularly important to be trained, guided by an expert. However, the majority of haptic hands-on training devices are usable by only one user at the same time, either the trainer or the trainee. Dual-user approaches have enhanced this situation by allowing both trainer and trainee to use the same simulator to introduce guided training into the simulation. In this paper, we introduce a multi-trainee architecture that expands further a former dual-user hands-on haptic training solution designed according to an energetic approach. This system will permit several trainees to be involved in the same simulation at the same time, guided by a single trainer. It paves the way to the multi-trainee hands-on training on haptic simulators.
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Angel Ricardo Licona Rodriguez, Arnaud Lelevé, Minh Tu Pham, Damien Eberard. A multi-trainee architecture for haptic hands-on training. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019), Nov 2019, Macao, China. ⟨10.1109/IROS40897.2019.8967771⟩. ⟨hal-02176416⟩



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