中国科学院自动化研究所，多模态人工智能系统全国重点实验室，副研究员
邮箱：yongkang.luo@ia.ac.cn  
研究领域：机器人学习
教育经历：
 2010/09-2016/07， 中国科学院大学，控制理论与控制工程，博士
 2001/09-2006/07， 华南理工大学，机械电子工程，学士
科研与学术工作经历：
 2022/12-至今 中国科学院自动化研究所，多模态人工智能系统全国重点实验室，副研究员
 2022/04-2022/11 中国科学院自动化研究所，复杂系统管理与控制国家重点实验室，智能机器人系统研究部，副研究员
 2016/07-2022/03 中国科学院自动化研究所，复杂系统管理与控制国家重点实验室，智能机器人系统研究部，助理研究员

机器人学习

1. 国家自然科学基金重点项目子课题，工业机器人三维视觉引导控制研究， 2017.01-2020.12, 主持
2. 工信部智能船舶专项子项，复杂海上场景的语义分割及弱小目标检测，2019.03-2021.09，主持
3. 国家自然基金重大研究计划培育项目，基于注意-记忆-学习的机器人感知与作业，2018.01-2020.12，参与
4. 高端智能服务机器人产品产业化项目子课题，深圳市优必选科技有限公司，2017.11-2020.10，参与
5. 中科院自动化研究所2035创新任务，神经拟态机器人，2021.1-2023.12，参与                         6. 科技部科技创新2030“新一代人工智能”重大项目, 自主智能体灵巧精准操作学习方法研究与验证, 2019.12 - 2023.12,  参与

[1] Yuxin Sun, Li Su, Yongkang Luo, Hao Meng, Zhi Zhang, Wen Zhang, Shouzheng Yuan. IRDCLNet: Instance Segmentation of Ship Images based on Interference Reduction and Dynamic Contour Learning in Foggy Scenes, in IEEE Transactions on Circuits and Systems for Video Technology, 2022, doi: 10.1109/TCSVT.2022.3155182.
[2] Yuxin Sun, Li Su, Yongkang Luo, Hao Meng, Wanyi Li, Zhi Zhang, Peng Wang, Wen Zhang. Global Mask R-CNN for marine ship instance segmentation, Neurocomputing, Volume 480, 2022, Pages 257-270.
[3] Wei Wei, Daheng Li, Peng Wang*, Yiming Li, Wanyi Li, Yongkang Luo, Jun Zhong. DVGG: Deep Variational Grasp Generation for Dextrous Manipulation. IEEE Robotics and Automation Letters. Volume: 7, Issue: 2, 1659-1666, 2022.
[4] Yunqian He, Guihua Xia, Yongkang Luo, Li Su, Zhi Zhang, Wanyi Li, Peng Wang. DVFENet: Dual-branch voxel feature extraction network for 3D object detection, Neurocomputing, Volume 459, 2021, Pages 201-211.
[5] Wei Wei#, Yongkang Luo#, Fuyu Li, Guangyun Xu, Jun Zhong, Wanyi Li, Peng Wang*. GPR: Grasp Pose Refinement Network for Cluttered Scenes. 2021 IEEE International Conference on Robotics and Automation (ICRA). 2021, pp. 4295-4302, doi: 10.1109/ICRA48506.2021.9561868. (并列一作)
[6] Wanyi Li, Fuyu Li, Yongkang Luo*, Peng Wang, and Jia Sun. Deep Domain Adaptive Object Deteciton: a Survey. 2020 IEEE Symposium Series on Computational Intelligence (SSCI).
[7] Xuanyang Xi, Yongkang Luo*, Peng Wang, and Hong Qiao. Salient object detection based on an efficient end-to-end saliency regression network. Neurocomputing, 323:265–276, 2019.
[8] Yongkang Luo, Peng Wang, Wenjun Zhu, and Hong Qiao. Sparse-Distinctive Saliency Detection. IEEE Signal Processing Letter, Vol. 22, No.9: 1378-1382, 2015
[9] Jia Sun, Peng Wang, Yongkang Luo, Gaoming, Hao, Hong Qiao. Precision Workpiece Detection and Measurement Combining Top-down and Bottom-up Saliency, International Journal of Automation and Computing , 2018
[10] Yongkang Luo, Peng Wang, Wanyi Li, and Hong Qiao. Salient Object Detection based on Boundary Contrast with Regularized Manifold Ranking. The 12thWorld Congress on Intelligent Control and Automation (WCICA), 2074-2079, Guilin, China, 2016.
[11] Peng Wang, Yongkang Luo, Wanyi Li, and Hong Qiao. Adaptive Probabilistic Tracking with Discriminative Feature Selection for Mobile Robot. 2016 IEEE International Conference on Systems, Man, and Cybernetics，SMC2016, Budapest. 2016.
[12] Wanyi Li, Yongkang Luo, Peng Wang*, Zhengke Qin, Hai Zhou, Hong Qiao. Recent Advances on Application of Deep Learning for Recovering Object Pose. IEEE Conference on Robotics and Biomimetics (ROBIO), Qingdao, P.R. China, 2016.
[13] Xiangli Nie, Yongkang Luo, Hong Qiao, Bo Zhang, and Zhong-Ping Jiang. An Incremental Multi-view Active Learning Algorithm for PolSAR Data Classification. ICPR 2018: 2251-2255.
[14] Wen Zhang, Xujie He, Wanyi Li, Zhi Zhang, Yongkang Luo, Li Su, Peng Wang. An integrated ship segmentation method based on discriminator and extractor. Image and Vision Computing, 2019.
[15] Wanyi Li, Jia Sun, Yongkang Luo*, and Peng Wang. 6D Object Pose Estimation using Few-Shot Instance Segmentation and 3D Matching. 2019 IEEE Symposium Series on Computational Intelligence (SSCI).
[16] Jia Sun, Peng Wang, Yongkang Luo, Wanyi Li. Surface Defects Detection Based on Adaptive Multi-scale Image Collection and Convolutional Neural Networks, IEEE Transactions on Instrumentation and Measurement, DOI：10.1109/TIM.2019.2899478, 2019.

无

(1) 王鹏; 罗永康; 黎万义; 乔红 ; 一种显著性区域检测方法及装置, 2017-1-25, 中国,
ZL201410301797.9 (专利)
(2) 王鹏; 罗永康 ; 显著区域检测方法和检测系统, 2019-6-14, 中国, ZL201610889100.(3) (专利) 孙佳; 王鹏; 黎万义; 罗永康 ; 基于视觉注意建模融合的缺陷样本自动标注方法及系统, 2022-09-
02, 中国, CN202110555658.9 (专利)