个人简历

教育经历\r
2007年-2012年 博士，机械工程学系，计算机辅助设计与制造，香港科技大学\r
2005年-2007年 硕士，机械设计及理论，浙江大学\r
2001年-2005年 学士，测控技术与仪器，大连理工大学\r
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学术兼职\r
国际期刊，Computer-Aided Design（SCI收录，JCR一区），审稿人\r
国际期刊，Multimedia Tools and Applications（SCI收录，JCR三区），审稿人\r
期刊，Journal of Zhejiang University-SCIENCE A（SCI收录，JCR三区），审稿人\r
国际会议，CAD Conference 2013， 审稿人\r
国际会议，CAD/Graphics 2013，审稿人

研究领域

"主要研究方向为智能CAD/CAM和智能服务机器人技术，探索面向二维和三维点云的学习理解理论与方法，并研究机器视觉、深度学习等AI技术在CAD、语义SLAM、视觉抓取、柔性装配、缺陷检测、原位检测等智能制造和移动机器人领域的核心应用技术。\r
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在智能CAD/CAM领域，结合具体领域需求研究了手绘参数化组装建模和视觉机械臂6D姿态抓取技术。前者研究基于手绘草图的工程产品建模关键问题，包括基于草图的设计意图理解、设计和装配过程中建模知识的自动挖掘、参数化模型检索等，经多年积累，本团队自主开发了3D建模内核iDesignCAD，可开发面向特定行业的手绘CAD建模软件，提高软件的自动化和智能化程度。后者研究了堆叠场景理解和机械臂抓取规划技术，包括类别识别、6D位姿估计等。最后将两个方向的创新成果应用于可重构柔性装配工程技术的开发，目标是开发类似于数控加工中心一样的数控装配中心，广泛采用机器视觉、机器人、和人工智能技术，允许用户快速重构柔性装配中心，低成本地快速实现自动化装配不同品类的产品。\r
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在智能服务机器人技术领域，主要研究中低速移动机器人在室内、室外环境下的自主导航技术，包括三维点云的语义理解、语义SLAM、多模态数据融合技术和移动机械臂抓取及其应用。目前已与深圳市餐厅机器人领域独角兽企业普渡科技建立了“智能服务机器人技术联合研究中心”，投入上千万元拟在未来3年内就智能服务机器人相关核心技术展开重点攻关。"

近期论文

F. Yang, k. Wu, S. Y. Zhang, G. N. Jiang, Y. Liu, F. Zheng, W. Zhang, C. J. Wang and L. Zeng, Class-Aware Contrastive Semi-Supervised Learning, IEEE Computer Vision and Pattern Recognition, 2022.\r
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L. Zeng, W. J. Lv, Z. K.Dong, Y. J. Liu, PPR-Net++, Accurate 6-D Pose Estimation in Stacked Scenarios, IEEE Transactions on Automation Science and Engineering, 2021, 1(1): 1-13.\r
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L. Zeng, W. J. Lv, X. Y. Zhang, Y. J. Liu, ParametricNet: 6DoF Pose Estimation Network for Parametric Shapes in Stacked Scenarios, IEEE Conference Robotic and Automation (ICRA 2021).\r
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Y. H. Han, J. Pan, M. F. Xia, L. Zeng, Y. J. Liu, Efficient SE(3) Reachability Map Generation via Interplanar Integration of Intra-planar Convolutions, IEEE Conference Robotic and Automation (ICRA 2021).\r
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S. M. Li, L. Zeng*, Pingfa Feng, Dingwen Yu, An accurate probe pre-travel error compensation model for five-axis OMI system, Precision Engineering (JCR Q1, IF3.1), 2020, vol. 62, pp. 256-264.\r
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Y. M. Li, L. Zeng*, K. Tang, C. Xie, Orientation-point relation-based inspection path planning method for 5-axis OMI system, Robotics and Computer-Integrated Manufacturing (JCR Q1, IF5.1), 2020, vol. 51, pp. 1-17.\r
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Y. M. Li,L. Zeng*, K. Tang, S. M. Li, A dynamic pre-travel error prediction model for the kinematic touch trigger probe, Measurement (SCI, JCR 1区, IF3.4), 2019.\r
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Z. K. Dong, S. C. Liu, T. Zhou, H. Cheng, L. Zeng*, X. Y. Yu, H. D. Liu, PPR-Net: Point-wise Pose Regression Network for Instance Segmentation and 6D Pose Estimation in Bin-picking Scenarios, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019). \r
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Y. M. Li, L. Zeng*, K. Tang, C. Xie, Orientation-point relation based inspection path planning method for 5-axis OMI system, Robotics and Computer-Integrated Manufacturing (JCR 1区, IF4.4), 2019.\r
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L.Zeng*, Z.-k. Dong, J. Y. Yu, J. Hong, H. Y. Wang, Sketch-based Retrieval and Instantiation of Parametric Parts [J], Computer Aided Design (JCR 1区, IF3.1), 2019, 113(82-95), DOI: 10.1016/j.cad.2019.04.003. \r
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S. M. Li, L. Zeng*, P. F. Feng Y. M. , Li, C. Xu, Y. Ma, Error Compensation using 3D error map for OMI with touch trigger probe, Journal of Advanced Manufacturing Technology (JCR 2区, IF2.5), 2019.\r
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B. Li, P. F. Feng, L. Zeng*, et al. Path planning method for on-machine inspection of aerospace structures based on adjacent feature graph [J]. Robotics and Computer-Integrated Manufacturing (JCR 1区, IF4.4), 2018, 54:17-34.\r
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S. L. Mi, X. Y. Wu, L. Zeng*. Optimal build orientation based on material changes for FGM parts [J]. International Journal of Advanced Manufacturing Technology (JCR 2区, IF2.5), 2017, 94(3):1-14.\r
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Y. F. Xu, T. Fan, M. Xu, L. Zeng. SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters, ECCV 2018 (全球计算机视觉三大会议之一).\r
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L. Zeng*, Y.J. Liu, J. Wang, D. L. Zhang, and M.M.F. Yuen. Sketch2Jewelry: Semantic Feature Modeling for Sketch-based Jewelry Design, Computers & Graphics (JCR3区，IF1.3), Vol.38, pp.69-77, 2013.\r
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L. Zeng*, Y.J. Liu, M. Chen, and M.M.F. Yuen. Least Squares Quasi-Developable Mesh Approximation, Computer Aided Geometric Design (SCI), Vol.29, No. 7, pp.565-578, 2012.\r
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L. Zeng*, Y.J. Liu, S. H. Lee, and M.M.F. Yuen. Q-Complex: Efficient Non-Manifold Boundary Representation with Inclusion Topology, Computer-Aided Design (JCR 1区，IF3.1), Vol. 44, No. 11, pp.1115-1126, 2012.\r
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L. Zeng*, L. M.L. Lai, D. Qi, Y. H. Lai, M.M.F. Yuen. Efficient Slicing Procedure based on Adaptive Layer Depth Normal Image, Computer-Aided Design (JCR1区，IF3.1), Vol.43, No. 12, pp.1577-1586, 2011.