Robot programming from demonstration, feedback and transfer

@article{Mollard2015RobotPF,
  title={Robot programming from demonstration, feedback and transfer},
  author={Yoan Mollard and Thibaut Munzer and Andrea Baisero and Marc Toussaint and Manuel Lopes},
  journal={2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  year={2015},
  pages={1825-1831}
}
This paper presents a novel approach for robot instruction for assembly tasks. We consider that robot programming can be made more efficient, precise and intuitive if we leverage the advantages of complementary approaches such as learning from demonstration, learning from feedback and knowledge transfer. Starting from low-level demonstrations of assembly tasks, the system is able to extract a high-level relational plan of the task. A graphical user interface (GUI) allows then the user to… CONTINUE READING
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Disruptive technologies: Advances that will transform life, business, and the global economy, volume 180

  • J. Manyika, M. Chui, J. Bughin, R. Dobbs, P. Bisson, A. Marrs
  • McKinsey Global Institute San Francisco,
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