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Baicun Wang
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2020 – today
- 2025
- [j8]Yong Tao, Haitao Liu, Yian Song, Changyi Deng, Baicun Wang, Pai Zheng:
Dynamic Tip-Over Avoidance Method for Mobile Manipulators Based on the Extended Zero-Moment Point Algorithm for Human-Robot Collaboration. J. Comput. Inf. Sci. Eng. 25(5) (2025) - [j7]Yong Tao
, Jiahao Wan
A safety posture field framework for mobile manipulators based on human-robot interaction trend and platform-arm coupling motion. Robotics Comput. Integr. Manuf. 93: 102903 (2025) - [j6]Baicun Wang
A deep learning-enabled visual-inertial fusion method for human pose estimation in occluded human-robot collaborative assembly scenarios. Robotics Comput. Integr. Manuf. 93: 102906 (2025) - [j5]Xijin Yang, Chenyi Weng, Lei Jiao, Tingyu Liu, Jiewu Leng, Yuqian Lu, Baicun Wang, Zhonghua Ni:
ATD-GCN: A human activity recognition approach for human-robot collaboration based on adaptive skeleton tree-decomposition. Robotics Comput. Integr. Manuf. 95: 103019 (2025) - [j4]Huiying Zhou
Toward Human Motion Digital Twin: A Motion Capture System for Human-Centric Applications. IEEE Trans Autom. Sci. Eng. 22: 619-630 (2025) - 2024
- [j3]Baicun Wang, Huiying Zhou, Xingyu Li, Geng Yang, Pai Zheng, Ci Song, Yixiu Yuan, Thorsten Wuest, Huayong Yang, Lihui Wang
Human Digital Twin in the context of Industry 5.0. Robotics Comput. Integr. Manuf. 85: 102626 (2024) - [j2]Yike He, Baotong Wu, Xiao Liu, Baicun Wang, Jianzhong Fu, Songyu Hu
AEGLR-Net: Attention enhanced global-local refined network for accurate detection of car body surface defects. Robotics Comput. Integr. Manuf. 90: 102806 (2024) - [c2]Yixiu Yuan, Baicun Wang, Ruirui Zhong, Bingtao Hu:
A Spatio-Temporal Transformer Network for Human Motion Prediction in Human-Robot Collaboration. ICNSC 2024: 1-6 - 2022
- [j1]Pin Lyu, Kewei Zhang, Wenbing Yu, Baicun Wang, Chao Liu
A novel RSG-based intelligent bearing fault diagnosis method for motors in high-noise industrial environment. Adv. Eng. Informatics 52: 101564 (2022) - [c1]Huiying Zhou, Longqiang Wang, Baicun Wang, Geng Yang:
Human-centric Application in Cyber-Physical System: An Inertial-based Motion Capture and Recognition System. INDIN 2022: 15-20
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