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Multimodal Control for Human-Robot Cooperation
Acte de colloque   Open Access

Multimodal Control for Human-Robot Cooperation

Andrea Cherubini, Robin Passama, Arnaud Meline, André Crosnier et Philippe Fraisse
IROS: Intelligent RObots and Systems, pp.2202-2207
IROS: Intelligent RObots and Systems (Tokyo, Japan, 03/11/2013–09/11/2013)
11/2013

Résumé

Visual Servoing Human-Robot Interaction
For intuitive human-robot collaboration, the robot must quickly adapt to the human behavior. To this end, we propose a multimodal sensor-based control framework, enabling a robot to recognize human intention, and consequently adapt its control strategy. Our approach is marker-less, relies on a Kinect and on an on-board camera, and is based on a unified task formalism. Moreover, we validate it in a mock-up industrial scenario, where human and robot must collaborate to insert screws in a flank.

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