General


Research Areas

Robotics, Machine Learning, Robot Learning, Robot Control, Tactile Sensing, Tactile Display


Please refer to this llink ( https://sites.google.com/site/homepageyi/ ) for more detailed information.

Education

Zhengkun Yi obtained his PhD degree under the supervision of Prof. Yilei Zhang and Prof. Jan Peters. He was in the joint PhD programme between Nanyang Technological University (NTU) and Technische Universitaet Darmstadt (TUD). He also worked with Prof. Sinno Jialin Pan, Dr. Yi Wang, Prof. Harold Soh , and Prof. Tucker Hermans. He received his bachelor degree from University of Science and Technology of China (USTC) and master degree from Chinese Academy of Sciences (CAS).

Experience

Zhengkun Yi is currently an Associate Professor at Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences. 

Publications

[13] Tactile Surface Roughness Categorization with Multineuron Spike Train Distance.

     Zhengkun Yi, Tiantian Xu, Shifeng Guo, Wanfeng  Shang, Xinyu Wu.

     IEEE Transactions on Automation Science and Engineering (Early Access)


[12] Local Discriminant Subspace Learning for Gas Sensor Drift Problem.

     Zhengkun Yi, Wanfeng  Shang, Tiantian Xu, Shifeng Guo, Xinyu Wu.

     IEEE Transactions on Systems, Man and Cybernetics: Systems (Early Access)


[11] Discriminative dimensionality reduction for sensor drift compensation in electronic nose: A robust, low-rank, and sparse representation method.

     Zhengkun Yi.

     Expert Systems with Applications, vol. 148, pp. 113238, 2020


[10] Gait Phase Classification for a Lower Limb Exoskeleton System Using Kernel Recursive Least-Squares Method.

     Yue Ma, Xinyu Wu, Can Wang,  Zhengkun Yi, Guoyuan Liang.

     Sensors, vol. 19, pp. 5449, 2019


[9] Anti-drift in electronic nose via dimensionality reduction: a discriminative subspace projection approach.

     Zhengkun Yi, Cheng Li.

     IEEE Access, vol. 7, pp. 170087-170095, Nov. 2019.


[8] A Spike Train Distance Based Method to Evaluate the Response of Mechanoreceptive Afferents.

      Zhengkun Yi, Yilei Zhang.

     Neural Computing and Applications, vol. 31, pp. 6319–6330, Oct. 2019.


[7] Unsupervised Surface Roughness Discrimination Based on Bio-inspired Artificial Fingertip [link].

      Longhui Qin, Zhengkun Yi, Yilei Zhang.

      Sensors and Actuators A: Physical, vol. 269, pp. 483-490, Jan. 2018.


[6] Biomimetic Tactile Sensors and Signal Processing with Spike Trains: A Review [link].

      Zhengkun Yi, Yilei Zhang, Jan Peters.

      Sensors and Actuators A: Physical, vol. 269, pp. 41-52, Jan. 2018.


[5] Low-Cost Sensor Fusion Technique for Surface Roughness Discrimination with Optical and Piezoelectric Sensors [link].

      Qianzhu Liang*, Zhengkun Yi*, Qingqing Hu, Yilei Zhang.

      IEEE Sensors Journal, vol. 17, pp. 7954-7960, Dec. 2017 (* equal contribution).


[4] Enhanced Surface Roughness Discrimination with Optimized Features from Bio-inspired Tactile Sensor [link].

      Longhui Qin, Zhengkun Yi, Yilei Zhang.

      Sensors and Actuators A: Physical, vol. 264, pp. 133-140, Sept. 2017. 


[3] Recognizing Tactile Surface Roughness with a Biomimetic Fingertip: A Soft Neuromorphic Approach [link].

      Zhengkun Yi, Yilei Zhang.

      Neurocomputing, vol. 244, pp. 102-111, Jun. 2017.


[2] Bioinspired Tactile Sensor for Surface Roughness  Discrimination [link].

      Zhengkun Yi, Yilei Zhang, Jan Peters.

      Sensors and Actuators A: Physical, vol. 255, pp. 46-53, Mar. 2017.


[1] Bio-inspired Tactile FA-I Spiking Generation Under  Sinusoidal Stimuli [link].

​      Zhengkun Yi, Yilei Zhang.

      Journal of Bionic Engineering, vol. 13, pp. 612-621, Oct. 2016.


Conference Papers

[1] Active Tactile Object Exploration with Gaussian Processes [link].

      Zhengkun Yi, Roberto Calandra, Filipe Veiga, Herke van Hoof, Tucker Hermans, Yilei Zhang, Jan Peters.

      IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 4925-4930, 2016.


Students

现指导学生

周贞宁  硕士研究生  085400-电子信息  

连鹏晨  硕士研究生  085210-控制工程  

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