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Dynamic scenario-enhanced diverse human motion prediction network for proactive human–robot collaboration in customized assembly tasks

  • Published:2024-07-22 Issue: Volume: Page:
  • ISSN:0956-5515
  • Container-title:Journal of Intelligent Manufacturing
  • language:en
  • Short-container-title:J Intell Manuf

Author:

Ding Pengfei,Zhang JieORCID,Zheng Pai,Zhang Peng,Fei Bo,Xu Ziqi

Funder

the Open Project of Henan Key Laboratory of Intelligent Manufacturing of Mechanical Equipment, Zhengzhou University of Light Industry

Innovative Research Group Project of the National Natural Science Foundation of China

Shanghai Frontier Science Research Center for Modern Textiles

Publisher

Springer Science and Business Media LLC

Reference45 articles.

1. Aksan, E., Kaufmann, M., & Hilliges, O. (2019). Structured prediction helps 3d human motion modelling. In Proceedings of the IEEE/CVF international conference on computer vision (pp. 7144–7153). Retrieved January 24, 2024, from http://openaccess.thecvf.com/content_ICCV_2019/html/Aksan_Structured_Prediction_Helps_3D_Human_Motion_Modelling_ICCV_2019_paper.html

2. Aliakbarian, S., Saleh, F. S., Salzmann, M., Petersson, L., & Gould, S. (2020). A stochastic conditioning scheme for diverse human motion prediction. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 5223–5232). Retrieved January 24, 2024, from http://openaccess.thecvf.com/content_CVPR_2020/html/Aliakbarian_A_Stochastic_Conditioning_Scheme_for_Diverse_Human_Motion_Prediction_CVPR_2020_paper.html

3. Aliakbarian, S., Saleh, F., Petersson, L., Gould, S., & Salzmann, M. (2021). Contextually plausible and diverse 3d human motion prediction. In Proceedings of the IEEE/CVF international conference on computer vision (pp. 11333–11342). Retrieved January 24, 2024, from http://openaccess.thecvf.com/content/ICCV2021/html/Aliakbarian_Contextually_Plausible_and_Diverse_3D_Human_Motion_Prediction_ICCV_2021_paper.html

4. Baenziger, T., Kunz, A., & Wegener, K. (2020). Optimizing human-robot task allocation using a simulation tool based on standardized work descriptions. Journal of Intelligent Manufacuring, 31(7), 1635–1648. https://doi.org/10.1007/s10845-018-1411-1

5. Barsoum, E., Kender, J., & Liu, Z. (2018). Hp-gan: Probabilistic 3d human motion prediction via gan. In Proceedings of the IEEE conference on computer vision and pattern recognition workshops (pp. 1418–1427). Retrieved January 24, 2024, from http://openaccess.thecvf.com/content_cvpr_2018_workshops/w29/html/Barsoum_HP-GAN_Probabilistic_3D_CVPR_2018_paper.html
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