教师名录
王伟明 研究员
所在系所机电设计与知识工程研究所
办公电话
通讯地址
电子邮件wangweiming@sjtu.edu.cn
个人主页
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教育背景
2003.02-2006.09 太阳成集团tyc7111cc 博士
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工作经历
2006.09-2008.05 太阳成集团tyc7111cc 博士后
2008.06-2009.12 太阳成集团tyc7111cc 讲师
2009.12-2020.12 太阳成集团tyc7111cc 副教授
2020.12- 太阳成集团tyc7111cc 研究员
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研究方向
机器人抓取与操作
人机协作
知识工程 -
科研项目
国家自然科学基金（51975350）“基于多模态感知与强化学习的人机协同接触操作”
国家自然科学基金（51675342）“基于视觉感知和深度学习的机器人鲁棒抓取研究”
国家自然科学基金（51005148）“复杂产品设计中基于不确定性信息的知识表示和评价” -
代表性论文专著
Wang, W.*, You, Y., Liu, W., & Lu, C. (2021). Point cloud classification with deep normalized Reeb graph convolution. Image and Vision Computing, 106, 104092.
Wang, W.*, Liu, W., Hu, J., Fang, Y., Shao, Q., & Qi, J. (2020). GraspFusionNet: a two-stage multi-parameter grasp detection network based on RGB–XYZ fusion in dense clutter. Machine Vision and Applications, 31(7–8), 58.
Liu, W., Hu, J., & Wang, W.* (2020). A Novel Camera Fusion Method Based on Switching Scheme and Occlusion-Aware Object Detection for Real-Time Robotic Grasping. Journal of Intelligent and Robotic Systems: Theory and Applications, 100(3–4).
You, Y., Lou, Y., Li, C., Cheng, Z., Li, L., Ma, L., Lu, C., & Wang, W.* (2020). KeypointNet: A large-scale 3D keypoint dataset aggregated from numerous human annotations. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 13644–13653.
Xue, T., Wang, W.*, Ma, J., Liu, W., Pan, Z., & Han, M. (2020). Progress and Prospects of Multimodal Fusion Methods in Physical Human–Robot Interaction: A Review. IEEE Sensors Journal, 20(18), 10355–10370.
You, Y., Lou, Y., Liu, Q., Tai, Y.-W., Ma, L., Lu, C., & Wang, W. *(2020). Pointwise Rotation-Invariant Network with Adaptive Sampling and 3D Spherical Voxel Convolution. Proceedings of the AAAI Conference on Artificial Intelligence, 34(07), 12717–12724.
You, Y., Lu, C., Wang, W.*, & Tang, C.-K. (2019). Relative CNN-RNN: Learning Relative Atmospheric Visibility From Images. IEEE Transactions on Image Processing, 28(1), 45–55.
Lu, C., Shi, J., Wang, W.*, & Jia, J. (2019). Fast Abnormal Event Detection. International Journal of Computer Vision, 127(8), 993–1011.
Wang, W.*, Chen, B., Xia, P., Hu, J., & Peng, Y. (2018). Sensor Fusion for Myoelectric Control Based on Deep Learning With Recurrent Convolutional Neural Networks. Artificial Organs, 42(9), E272–E282.
