Can Zhao / 赵灿

Here is Can Zhao (Vivian, 赵灿). I am now pursuing the Ph.D degree in Shanghai Jiaotong University where I am advised by Prof. Daolin Ma in the MPI Lab. I previously received the Bachelor degree from Sichuan University (SCU) in 2022.

Research Interest: My current research focuses on tactile perception and force sensing with their applications to robotic dexterous manipulation of various objects. In addition, I’m interested in the modeling, perception and manipulation of deformable objects, aiming to make it robust, practical, and easy-to-apply.

  • Tactile Perception & Force Sensing
  • Dexterous Robotic Manipualtion
  • Modeling and Manipulation of Deformable Objects

If you are interested in my projects, please contact me.

Email: can.zh@foxmail.com (recommended); can.zhxx@sjtu.edu.cn.


Education

Ph.D. Student in Mechanics, Shanghai Jiao Tong University (Shanghai, China)   Sept. 2022 – Jun. 2027 (Expected)

  • The MPI Lab (Manipulation, Perception and Intelligence Laboratory) member, supervised by Prof. Daolin Ma
  • Transferred from MS to PhD track in Sep. 2024 based on academic excellence
  • GPA: 3.87/4.0

B.Eng. in Engineering Mechanics, Sichuan University (Sichuan, China)   Sept. 2018 - Jun. 2022

  • GPA: 3.93/4.0, Ranking: 1/40

Research & Teaching Experience

Robotics X, Tencent (Shenzhen, China)   Jun. 2024 - Sept. 2024

  • Advisor: Dr. Bidan Huang
  • Topic: Dexterous manipulation and Reinforcement learning

Teaching assistant, Theoretical Mechanics (Sophomore)   Sept. 2022 - Jan. 2023

  • Scored homework and quizzes, organized standard answers, and summarized problem-solving experiences
  • Provided students with individual Q&A sessions and detailed explanations of homework errors
  • Conducted review and exercise classes to reinforce key concepts
  • Awarded the title of Outstanding Teaching Assistant (Top 1%)

Publications

You can also find my articles on my Google Scholar profile..

Under Review

  1. C. Zhao, L. Xie, B. Huang*, S. Wang, and D. Ma, “Tactile-Driven Dexterous In-Hand Writing via Extrinsic Contact Sensing”, submitted to RA-L, 2025. [Website]

Journal Papers

  1. C. Zhao, J. Liu and D. Ma*, “iFEM2.0: Dense 3D Contact Force Field Reconstruction and Assessment for Vision-based Tactile Sensors,” IEEE Transactions on Robotics (T-RO), 2025. [Paper]

  2. J. Liu, H. Yu, C. Zhao, W. Liu, D. Ma*, and W. Wang*, “Real-Time Reconstruction of 3D Tactile Motion Field via Multi-Task Learning, “ IEEE Transactions on Instrumentation and Measurement (TIM), 2024. [Paper]

Conference Papers

  1. C. Zhao, J. Ren, H. Yu and D. Ma, “In-situ Mechanical Calibration for Vision-based Tactile Sensors,” 2023 IEEE International Conference on Robotics and Automation (ICRA), 2023. doi: 10.1109/ICRA48891.2023.10161153.

Patents

  1. 马道林, 赵灿. 基于压痕的视触觉传感器力学参数原位标定方法. 申请号:2022113978708, 申请日:2022.11.09. 授权公告号:CN115711701B, 授权公告日:2024.07.02.

  2. 赵灿, 马道林, 赵浩南, 刘琎, 余赫曦, 李宇超, 陈泽霖. 基于逆有限元分析的视触觉传感器三维接触力场测量方法. 申请号:CN202410277133.7, 申请日:2024.03.12. (审中)

  3. 马道林, 赵浩南, 赵灿, 刘琎, 余赫曦, 陈泽霖, 李宇超. 一种用于深海的高集成低成本深海相机. 申请号:CN202410249146.3, 申请日:2024.03.05. (审中)


Award

Honor

  • China “Internet+” Innovation and Entrepreneurship Competition (Golden Prize, Top 0.01%)   Nov. 2023
  • Outstanding Graduate in Sichuan Province (Top 3%)   Mar. 2022
  • China National Undergraduate Mechanics Competition (Third Prize)   Aug. 2021
  • China National Undergraduate Mathematics Competition in Sichuan Province (First Prize)   Aug. 2020
  • Outstanding Student (Leader) at Sichuan University   Nov. 2019/2020/2021

Scholarship

  • First Class Scholarship at Shanghai Jiao Tong University   Nov. 2022/2023/2024
  • China Optics Valley Scholarship (Optoelectronics Information Award)   Nov. 2023
  • Sichuan University-Jiangsu Wujiang Hi-Tech Industrial Park Scholarship (Science and Technology Innovation)   Dec. 2021
  • China National Scholarship (Top 0.2%), Cheung Kong Power Scholarship   Dec. 2020

Research Skill

  • Python: Machine learning, deep learning (PyTorch), computer vision (OpenCV, OpenGL) and data analysis
  • MATLAB: 2D and 3D finite element implementation with implicit and explicit solvers, dynamics simulation of mechanical structures
  • Mechanical analysis software: Abaqus and its secondary development using Python scripts, Ansys and HyperMesh
  • Auxiliary skill: Linux, Git, LaTeX, Solidworks and Adobe Suites