基本信息
易正琨  男  博导  中国科学院深圳先进技术研究院
电子邮件: zk.yi@siat.ac.cn
通信地址: 深圳市南山区西丽深圳大学城学苑大道1068号
邮政编码: 518055

招生信息

   
招生专业
081104-模式识别与智能系统
080201-机械制造及其自动化
081102-检测技术与自动化装置
招生方向
(1)智能机器人,机器人触觉
(2)人工智能,类脑智能
(3)机器视觉

教育背景

2013-01--2017-11   新加坡南洋理工大学/德国达姆施塔特工业大学   博士
2009-09--2012-07   中科院上海微系统与信息技术研究所   硕士
2005-09--2009-07   中国科学技术大学   学士

工作经历

   
工作简历
2022-01~现在, 中国科学院深圳先进技术研究院, 研究员
2019-10~2021-12,中国科学院深圳先进技术研究院, 副研究员

教授课程

机器人学
机器人学导论

专利与奖励

   
奖励信息
(1) 深圳市海外高层次海外留学人才(孔雀计划)C类, 市地级, 2019
专利成果
[1] 尹猛, 易正琨, 吴新宇, 黄滨华. 一种带触觉与弯曲感知功能的软体手指机构及软体手. CN: CN114179119A, 2022-03-15.
[2] 易正琨, 方森林, 吴新宇, 米婷婷, 叶超翔, 周贞宁, 柳程亮. 硬度识别方法、装置、电子设备及存储介质. CN: CN113837008A, 2021-12-24.

出版信息

发表论文
[1] Xie, Xiang, Zuo, Qiyang, Chen, Hailun, Xu, Yaohui, Yi, Zhengkun, He, Kai. A non-intrusive model order reduction boundary element method for frequency sweeps of 2D acoustics. JOURNAL OF SOUND AND VIBRATION[J]. 2023, 544: http://dx.doi.org/10.1016/j.jsv.2022.117396.
[2] Yi, Zhengkun, Xu, Tiantian, Shang, Wanfeng, Wu, Xinyu. Touch Modality Identification With Tensorial Tactile Signals: A Kernel-Based Approach. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING[J]. 2022, 19(2): 959-968, http://dx.doi.org/10.1109/TASE.2021.3055251.
[3] Zhou, Zhenning, Huang, Binhua, Zhang, Runzhi, Yin, Meng, Liu, Chengliang, Liu, Yiwen, Yi, Zhengkun, Wu, Xinyu. Methods to Recognize Depth of Hard Inclusions in Soft Tissue Using Ordinal Classification for Robotic Palpation. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT[J]. 2022, 71: [4] Zheng, Liangsheng, Feng, Wei, Ma, Yue, Lian, Pengchen, Xiao, Yang, Yi, Zhengkun, Wu, Xinyu. Ensemble learning method based on temporal, spatial features with multi-scale filter banks for motor imagery EEG classification. BIOMEDICAL SIGNAL PROCESSING AND CONTROL[J]. 2022, 76: http://dx.doi.org/10.1016/j.bspc.2022.103634.
[5] Fang, Senlin, Yi, Zhengkun, Mi, Tingting, Zhou, Zhenning, Ye, Chaoxiang, Shang, Wanfeng, Xu, Tiantian, Wu, Xinyu. TactONet: Tactile Ordinal Network Based on Unimodal Probability for Object Hardness Classification. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING. 2022, http://dx.doi.org/10.1109/TASE.2022.3200073.
[6] Zheng, Liangsheng, Ma, Yue, Lian, Pengchen, Xiao, Yang, Yi, Zhengkun, Song, Qiuzhi, Feng, Wei, Wu, Xinyu. A Power Spectrum Pattern Difference-Based Time-Frequency Sub-Band Selection Method for MI-EEG Classification. IEEE SENSORS JOURNAL[J]. 2022, 22(12): 11928-11939, http://dx.doi.org/10.1109/JSEN.2022.3171808.
[7] Yi, Zhengkun, Shang, Wanfeng, Xu, Tiantian, Guo, Shifeng, Wu, Xinyu. Local Discriminant Subspace Learning for Gas Sensor Drift Problem. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS[J]. 2022, 52(1): 247-259, http://dx.doi.org/10.1109/TSMC.2020.2997922.
[8] Yi, Zhengkun, Shang, Wanfeng, Xu, Tiantian, Wu, Xinyu. Neighborhood Preserving and Weighted Subspace Learning Method for Drift Compensation in Gas Sensor. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS[J]. 2022, 52(6): 3530-3541, http://dx.doi.org/10.1109/TSMC.2021.3071146.
[9] Yi Zhengkun. TactCapsNet: Tactile Capsule Network for Object Hardness Recognition. IEEE International Conference on Real-time Computing and Robotics. 2021, [10] Yi Zhengkun. Tactile Grasp Stability Classification Based on Graph Convolutional Networks. IEEE International Conference on Real-time Computing and Robotics. 2021, [11] Yi Zhengkun. Short-Time Fourier Transform Covariance and Selection, A Feature Extraction Method for Binary Motor Imagery Classification. IEEE International Conference on Real-time Computing and Robotics. 2021, [12] Yi, Zhengkun, Xu, Tiantian, Guo, Shifeng, Shang, Wanfeng, Wu, Xinyu. Tactile Surface Roughness Categorization With Multineuron Spike Train Distance. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING[J]. 2021, 18(4): 1835-1845, http://dx.doi.org/10.1109/TASE.2020.3021742.
[13] Yi Zhengkun. Leveraging Multi-Label Correlation for Tactile Adjective Recognition. The 3rd International Conference on Robotics, Control and Automation Engineering (RCAE 2020). 2020, [14] Yi Zhengkun. Multimodal Surface Material Classification Based on Ensemble Learning with Optimized Features. IEEE International Conference on E-health Networking, Application & Services (2020). 2020, [15] Yi, Zhengkun. Discriminative dimensionality reduction for sensor drift compensation in electronic nose: A robust, low-rank, and sparse representation method. EXPERT SYSTEMS WITH APPLICATIONS[J]. 2020, 148: http://dx.doi.org/10.1016/j.eswa.2020.113238.
[16] Yi, Zhengkun, Zhang, Yilei. A spike train distance-based method to evaluate the response of mechanoreceptive afferents. NEURAL COMPUTING & APPLICATIONS[J]. 2019, 31(10): 6319-6330, http://dx.doi.org/10.1007/s00521-018-3465-6.
[17] Ma, Yue, Wu, Xinyu, Wang, Can, Yi, Zhengkun, Liang, Guoyuan. Gait Phase Classification and Assist Torque Prediction for a Lower Limb Exoskeleton System Using Kernel Recursive Least-Squares Method. SENSORS[J]. 2019, 19(5449): 1-21, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000517961400112.
[18] Zhengkun Yi, Yilei Zhang, Jan Peters. Biomimetic tactile sensors and signal processing with spike trains: A review. SENSORS & ACTUATORS: A. PHYSICAL. 2018, 269: 41-52, http://dx.doi.org/10.1016/j.sna.2017.09.035.
[19] Qin, Longhui, Yi, Zhengkun, Zhang, Yilei. Unsupervised surface roughness discrimination based on bio-inspired artificial fingertip. SENSORS AND ACTUATORS A-PHYSICAL[J]. 2018, 269: 483-490, http://dx.doi.org/10.1016/j.sna.2017.12.011.
[20] Yi Zhengkun, Zhang Yilei. Recognizing tactile surface roughness with a biomimetic fingertip: A soft neuromorphic approach. NEUROCOMPUTING[J]. 2017, 244: 102-111, http://dx.doi.org/10.1016/j.neucom.2017.03.025.
[21] Qin, Longhui, Yi, Zhengkun, Zhang, Yilei. Enhanced surface roughness discrimination with optimized features from bio-inspired tactile sensor. SENSORS AND ACTUATORS A-PHYSICAL[J]. 2017, 264: 133-140, http://dx.doi.org/10.1016/j.sna.2017.07.054.
[22] Liang, Qianzhu, Yi, Zhengkun, Hu, Qingqing, Zhang, Yilei. Low-Cost Sensor Fusion Technique for Surface Roughness Discrimination With Optical and Piezoelectric Sensors. IEEE SENSORS JOURNAL[J]. 2017, 17(23): 7954-7960, https://www.webofscience.com/wos/woscc/full-record/WOS:000415182100041.
[23] Yi, Zhengkun, Zhang, Yilei, Peters, Jan. Bioinspired tactile sensor for surface roughness discrimination. SENSORS AND ACTUATORS A-PHYSICAL[J]. 2017, 255: 46-53, http://dx.doi.org/10.1016/j.sna.2016.12.021.
[24] Yi, Zhengkun, Zhang, Yilei. Bio-inspired Tactile FA-I Spiking Generation under Sinusoidal Stimuli. JOURNAL OF BIONIC ENGINEERING[J]. 2016, 13(4): 612-621, http://lib.cqvip.com/Qikan/Article/Detail?id=670433880.
[25] Yi, Zhengkun, Calandra, Roberto, Veiga, Filipe, van Hoof, Herke, Hermans, Tucker, Zhang, Yilei, Peters, Jan, IEEE. Active Tactile Object Exploration with Gaussian Processes. 2016 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS 2016)null. 2016, 4925-4930, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000391921704139.

科研活动

   
科研项目
( 1 ) 深圳市结构健康智能检测技术重点实验室(深圳市智慧传感与系统检测 重点实验室), 参与, 地方任务, 2020-01--2022-03
( 2 ) 基于多模态和多标签学习的机器人智能触觉信息融合方法研究, 负责人, 国家任务, 2021-01--2023-12
( 3 ) 创新项目-新引进人才启动基金, 负责人, 研究所自选, 2021-03--2022-12
( 4 ) 多任务场景下机器人多模态触觉信息融合方法研究, 负责人, 地方任务, 2021-01--2023-12
( 5 ) 国家重点人才项目(青年), 负责人, 国家任务, 2022-01--2024-12
参与会议
(1)Active Tactile Object Exploration with Gaussian Processes    2016-10-09

指导学生

已指导学生

连鹏晨  硕士研究生  085210-控制工程  

现指导学生

周贞宁  硕士研究生  085400-电子信息  

苏园哲  硕士研究生  085400-电子信息  

柳义文  硕士研究生  081100-控制科学与工程  

张哲维  硕士研究生  085400-电子信息  

王乙儒  硕士研究生  085400-电子信息  

潘恒  硕士研究生  085400-电子信息  

郑丽婧  硕士研究生  085400-电子信息