罗永康，工学博士，现任职于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。主要从事机器人灵巧操作与视觉感知学习，以及智能系统方向的研究，探索灵巧操作机器人前沿技术，开发灵巧操作具身智能算法，提升机器人灵巧操作能力与精细操作能力，以及研究在小样本条件下的高效学习策略。发表相关研究论文26篇，包括IEEE Transactions on Robotics，IEEE Robotics and Automation Letters，IEEE Transactions on Cognitive and Developmental Systems，IEEE Transaction on Circus and System for Video Technology，IEEE Transactions on Industrial Informatics等国际期刊论文，以及ICRA，ICPR等国际会议论文。参与研发的Casia Hand系列仿人灵巧手机器人，获得2024年“日内瓦国际发明展金奖”和展会特别奖“ISTA全球创新与发明奖”。

机器人学习，计算机视觉，智能系统

1.中国科学院自动化研究所2035创新任务，神经拟态机器人，2021.1-2023.12，结题，主要完成人

2. 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，2019.1-2023.12，结题，参与。

3. 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，结题，主持

4. 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, 结题，主持

5. 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，结题，主要完成人

6. 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, 结题，主要完成人

[1]Haonan Duan, Peng Wang, Yifan Yang, Daheng Li, Wei Wei,Yongkang Luo, and Guoqiang Deng. Reactive Human-to-Robot Dexterous Handovers for Anthropomorphic Hand,IEEE Transactions on Robotics, vol. 41, pp. 742-761, 2025, doi: 10.1109/TRO.2024.3508194.

[2]      Wei Wei, Peng Wang, Si Zhe Wang, Yongkang Luo, Wanyi Li, Daheng Li, Yayu Huang, Haonan Duan, Learning Human-like Functional Grasping for Multi-finger Hands from Few Demonstrations, IEEE Transactions on Robotics, vol. 40, pp. 3897-3916, 2024, doi: 10.1109/TRO.2024.3420722.

[3]      Yongkang Luo, Wanyi Li, Peng Wang, Haonan Duan, Wei Wei, Jia Sun, Progressive Transfer Learning for Dexterous In-Hand Manipulation with Multi-Fingered Anthropomorphic Hand, IEEE Transactions on Cognitive and Developmental Systems, vol. 16, no. 6, pp. 2019-2031, Dec. 2024, doi: 10.1109/TCDS.2024.3406730.

[4]      Yayu Huang, Dongxuan Fan, Dashun Yan, Wen Qi, Guoqiang Deng, Zhihao Shao, Yongkang Luo, Daheng Li, Zhenghan Wang, Qian Liu, Peng Wang*, Human-Robot Collaborative Tele-grasping in Clutter with Five-Fingered Robotic Hands, IEEE Robotics and Automation Letters, doi: 10.1109/LRA.2025.3527278. 

[5]      Min Zhao, Guoyu Zuo, Shuangyue Yu, Yongkang Luo, Chunfang Liu, Daoxiong Gong, Language-Guided Category Push–Grasp Synergy Learning in Clutter by Efficiently Perceiving Object Manipulation Space, IEEE Transactions on Industrial Informatics, doi: 10.1109/TII.2024.3488774.

[6]Guoyu Zuo, Zhihui Shen, Shuangyue Yu,Yongkang Luo, Min Zhao, HBGNet: Robotic Grasp Detection Using a Hybrid Network, IEEE Transactions on Instrumentation and Measurement, doi: 10.1109/TIM.2024.3522557.

[7]      Haibo Yao, Yongkang Luo, Zhi Zhang, Jianhang Yang, Chengtao Cai, Hierarchical Attention Networks for Fact-based Visual Question Answering, Multimedia Tools and Applications, 83, 17281–17298 (2024).

[8]      Penghang Shuai, Haipeng Li*, Yongkang Luo, Liangwei and Deng, Reinforcement Learning Methods in Robotic Fish: Survey, 2024 43rd Chinese Control Conference (CCC), Kunming, China, 2024, pp. 4270-4277, doi: 10.23919/CCC63176.2024.10662409.

[9]      Yunqian He, Zhi Zhang, Zhe Wang, Yongkang Luo*, Li Su, Wanyi Li, Peng Wang, Wen Zhang, IPC-Net: Incomplete point cloud classification network based on data augmentation and similarity measurement, Journal of Visual Communication and Image Representation, Volume 91, 2023, 103769, ISSN 1047-3203. (通讯作者)

[10]  Haibo Yao, Lipeng Wang, Chengtao Cai, Yuxin Sun, Zhi Zhang, Yongkang Luo, Multi-modal spatial relational attention networks for visual question answering, Image and Vision Computing, Volume 140, 2023, 104840, ISSN 0262-885.

[11]  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.

[12]  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.

[13]  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.

[14]  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)

[15]  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.

[16]  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). (通讯作者)

[17]  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. (并列一作、通讯作者)

[18]  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.

[19]  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). (通讯作者)

[20]  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.

[21]  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.

[22]  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

[23]  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.

[24]  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.

[25]  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.

[26]  Yongkang Luo, Peng Wang, Wenjun Zhu, and Hong Qiao. Sparse-Distinctive Saliency Detection. IEEE Signal Processing Letter, Vol. 22, No.9: 1378-1382, 2015

(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

(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) 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