Abstract
In most of the current human-robot collaboration systems, the motion of robots is based on some predefined instructions, which can just deal with several specific situations. It is difficult to predefine a complete set of instructions for situations in the area of assistance and rehabilitation due to their high complexity and large variety. As a result, the instruction-based human-robot collaboration cannot be applied in these areas directly. In this paper, we propose a new human-robot collaboration framework based on the understanding of human intention. In this framework, the behavior of robots is based on the actively recognition and understanding of the dynamic scene and human intention, which is one of the core character of the coexisting robot. Based on this framework, we have accomplished some initial experiments, whose results show the effectiveness of our proposed system.
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Acknowledgement
This work is supported in part by the National Key Research and Development Program of China under grant 2016YFB1000903, NSFC No. 61573268 and Program 973 No. 2012CB316400.
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Liang, G., Lan, X., Zhang, H., Chen, X., Zheng, N. (2017). Intention-Based Human Robot Collaboration. In: Huang, Y., Wu, H., Liu, H., Yin, Z. (eds) Intelligent Robotics and Applications. ICIRA 2017. Lecture Notes in Computer Science(), vol 10462. Springer, Cham. https://doi.org/10.1007/978-3-319-65289-4_57
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DOI: https://doi.org/10.1007/978-3-319-65289-4_57
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