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Multimodal control for human-robot cooperation
Acte de colloque

Multimodal control for human-robot cooperation

Andrea Cherubini, Robin Passama, Arnaud Meline, Andre Crosnier et Philippe Fraisse
2013 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), pp.2202-2207
IEEE International Conference on Intelligent Robots and Systems
01/01/2013

Résumé

Computer Science Computer Science, Artificial Intelligence Computer Science, Cybernetics Robotics Science & Technology Technology
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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Détails

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