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Naturally teaching a humanoid Tri-Co robot in a real-time scenario using first person view

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References

  1. Wachter M, Asfour T. Hierarchical segmentation of manipulation actions based on object relations and motion characteristics. In: Proceedings of International Conference on Advanced Robotics, 2015. 549–556

    Google Scholar 

  2. Lim G H. Two-step learning about normal and exceptional human behaviors incorporating patterns and knowledge. In: Proceedings of IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2017. 162–167

    Google Scholar 

  3. Ding H, Yang X, Zheng N, et al. Tri-Co Robot: a Chinese robotic research initiative for enhanced robot interaction capabilities. Natl Sci Rev, 2018, 5: 799–801

    Article  Google Scholar 

  4. Argall B D, Chernova S, Veloso M, et al. A survey of robot learning from demonstration. Robot Autonom Syst, 2009, 57: 469–483

    Article  Google Scholar 

  5. Langevin G. Inmoov. 2014. http://www.inmoov.fr/ project

    Google Scholar 

  6. Gong L, Gong C, Ma Z, et al. Real-time humanin-the-loop remote control for a lifesize traffic police robot with multiple augmented reality aided display terminals. In: Proceedings of the 2nd International Conference on Advanced Robotics and Mechatronics (ICARM), 2017. 420–425

    Google Scholar 

  7. Meng X, Pan J, Qin H. Motion capture and retargeting of fish by monocular camera. In: Proceedings of International Conference on Cyberworlds, 2017. 80–87

    Google Scholar 

  8. Dai H, Cai B, Song J, et al. Skeletal animation based on bvh motion data. In: Proceedings of the 2nd International Conference on Information Engineering and Computer Science, 2010. 1–4

    Google Scholar 

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Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant No. 51775333).

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Authors and Affiliations

  1. School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China

    Liang Gong, Xudong Li, Wenbin Xu, Binhao Chen, Zelin Zhao, Yixiang Huang & Chengliang Liu

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  1. Liang Gong
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  2. Xudong Li
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  3. Wenbin Xu
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  4. Binhao Chen
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  5. Zelin Zhao
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  6. Yixiang Huang
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  7. Chengliang Liu
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Correspondence to Liang Gong.

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Gong, L., Li, X., Xu, W. et al. Naturally teaching a humanoid Tri-Co robot in a real-time scenario using first person view. Sci. China Inf. Sci. 62, 50205 (2019). https://doi.org/10.1007/s11432-018-9667-0

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