Dr Weiyong Si

Dr Weiyong Si

Dr Weiyong Si is a Lecturer at the University of Essex, specializing in robotics and AI, with a focus on robot learning, control, and human-robot interaction.

Publications

You can also find my articles on my Google Scholar profile

Selected Journal Articles

  1. Guo, Peng, Si, W., Yang, Chenguang (2024).A Novel Framework Inspired by Human Behaviour for Peg-in-hole Assembly. Robotic Intelligence and Automation.
  2. Luo, J., Zhang, C., Si, W., Jiang, Y., Yang, C., & Zeng, C. (2024). A Physical Human–Robot Interaction Framework for Trajectory Adaptation Based on Human Motion Prediction and Adaptive Impedance Control. IEEE Transactions on Automation Science and Engineering.
  3. Lu, Z., Si, W., Wang, N., & Yang, C. (2024). Dynamic Movement Primitives-Based Human Action Prediction and Shared Control for Bilateral Robot Teleoperation. IEEE Transactions on Industrial Electronics.
  4. Yue, T., Si, W., Keller, A., Yang, C., Bloomfield-Gadêlha, H., & Rossiter, J. (2024). Bioinspired multiscale adaptive suction on complex dry surfaces enhanced by regulated water secretion. Proceedings of the National Academy of Sciences, 121(16), e2314359121.
  5. Si, W., Wang, N., & Yang, C. (2024). Design and Quantitative Assessment of Teleoperation-Based Human–Robot Collaboration Method for Robot-Assisted Sonography. IEEE Transactions on Automation Science and Engineering.
  6. Si, W., Wang, N., & Yang, C. (2023). Composite dynamic movement primitives based on neural networks for human–robot skill transfer. Neural Computing and Applications, 35(32), 23283-23293.
  7. Jin, Z., Si, W., Liu, A., Zhang, W. A., Yu, L., & Yang, C. (2023). Learning a flexible neural energy function with a unique minimum for globally stable and accurate demonstration learning. IEEE Transactions on Robotics.
  8. Lu, Z., Wang, N., Si, W., & Yang, C. Distributed Observer-based Prescribed Performance Control for Multi-Robot Deformable Object Cooperative Teleoperation. IEEE Transactions on Automation Science and Engineering, 2023. (IF: 6.636, Top)
  9. Xing, X., Burdet, E., Si, W., Yang, C., & Li, Y. (2023). Impedance learning for human-guided robots in contact with unknown environments. IEEE Transactions on Robotics.
  10. Dong, J., Si, W., & Yang, C. A Novel Human-robot Skill Transfer Method for Contact-rich Manipulation Task. Robotic Intelligence and Automation, 2023. (IF:2.373 , JCR 2)
  11. Zhao, G., Zeng, C., Si, W., & Yang, C. A Human-Robot Collaboration Method for Uncertain Surface Scanning. CAAI Transactions on Intelligence Technology,2023. (IF:9.11, JCR 1)
  12. Zhang, D., Si, W., Fan, W., Guan, Y., & Yang, C. (2022). From Teleoperation to Autonomous Robot-assisted Microsurgery: A Survey. Machine Intelligence Research, 1-19.
  13. Si, W., Guan, Y., & Wang, N. (2022). Adaptive compliant skill learning for contact-rich manipulation with human in the loop. IEEE Robotics and Automation Letters, 7(3), 5834-5841.
  14. Si, W., Wang, N., Li, Q., & Yang, C. (2022). A Framework for Composite Layup Skill Learning and Generalizing Through Teleoperation. Frontiers in Neurorobotics, pp.1-16. (IF:3.493, JCR 2)
  15. Yue, T., Si, W., Partridge, A. J., Yang, C., Conn, A. T., Bloomfield-Gadêlha, H., & Rossiter, J. (2022). A contact-triggered adaptive soft suction cup. IEEE Robotics and Automation Letters, 7(2), 3600-3607.
  16. Si, W., Wang, N. and Yang, C. (2021), A review on manipulation skill acquisition through teleoperation-based learning from demonstration. Cogn. Comput. Syst, 3: 1-16, doi: 10.1049/ccs2.12005. Open Access Repository

Selected Conference Papers

  1. Weiyong Si, Zhehao Jin, Zhenyu Lu, Ning Wang and Chenguang Yang∗. A Stable Guidance Method for Teleoperation-based Robot Learning from Demonstration (CASE 2024)
  2. Kunlin Guo, Chao Zeng, Weiyong Si, Ning Wang, and Chenguang Yang∗Adaptive Stiffness Control of Series Elastic Actuator Manipulators Based on Dynamic System (CASE 2024)
  3. Lu, Z., Yang, J., Li, H., Li, Y., Si, W., Lepora, N., & Yang, C. (2024), “TacShade: A New 3D-printed Soft Optical Tactile Sensor Based on Light, Shadow and Greyscale for Shape Reconstruction,” 2024 IEEE International Conference on Robotics and Automation (ICRA), Yokohama, Japan, 2024, pp. 17153-17159, doi: 10.1109/ICRA57147.2024.10610508.
  4. Wang, Z., Shi, D., Yang, C., Si, W., & Li, Q. (2024, March). Autonomous Liver Ultrasound Examination Based on Imitation Learning and Stiffness Estimation. In 2024 IEEE International Conference on Industrial Technology (ICIT) (pp. 1-6). IEEE.
  5. Xu, Z., She, H., Si, W., Yang, B., Yao, L., & Yang, X. (2024, March). Lightweight of SiamCAR Network for UAV Single Target Track. In 2024 IEEE International Conference on Industrial Technology (ICIT) (pp. 1-6). IEEE.
  6. Hu, H., Shi, D., Yang, C., Si, W., & Li, Q. (2024, March). A Novel Shared Control Framework Based on Imitation Learning. In 2024 IEEE International Conference on Industrial Technology (ICIT) (pp. 1-6). IEEE.
  7. Yang, B., She, H., Si, W., Xu, Z., Yao, L., & Yang, X. (2024, March). Conditional Trigger Model Predictive Control for Aerial Manipulation. In 2024 IEEE International Conference on Industrial Technology (ICIT) (pp. 1-6). IEEE.
  8. Guo, P., Si, W., & Yang, C. (2024, March). Robot Hand-eye Calibration Method Incorporating Filtering Techniques. In 2024 IEEE International Conference on Industrial Technology (ICIT) (pp. 1-6). IEEE.
  9. Yao, L., She, H., Si, W., Zhou, H., Yang, B., & Xu, Z. (2024, March). Mobile-SPEEDNet: A Lightweight Network for Non-Cooperative Spacecraft Pose Estimation. In 2024 IEEE International Conference on Industrial Technology (ICIT) (pp. 1-6). IEEE.
  10. W. Fan, H. Li, W. Si, S. Luo, N. Lepora and D. Zhang, “ViTacTip: Design and Verification of a Novel Biomimetic Physical Vision-Tactile Fusion Sensor,” 2024 IEEE International Conference on Robotics and Automation (ICRA), Yokohama, Japan, 2024, pp. 1056-1062, doi: 10.1109/ICRA57147.2024.10611186.
  11. W. Si, C. Guo, N. Wang, M. Yang, R. Harris and C. Yang, “A Unified Deep Imitation Learning and Control Framework for Robot-Assisted Sonography,” 2023 IEEE International Conference on Development and Learning (ICDL), Macau, China, 2023, pp. 318-323, doi: 10.1109/ICDL55364.2023.10364497.
  12. Lu, Z., Yue, T., Zhao, Z., Si, W., Wang, N., & Yang, C. (2023, October). MechTac: A Multifunctional Tendon-Linked Optical Tactile Sensor for In/Out-the-Field-of-View Perception with Deep Learning. In IECON 2023-49th Annual Conference of the IEEE Industrial Electronics Society (pp. 1-6). IEEE.
  13. Tian, J., Si, W., Wang, N., & Yang, C. (2023, August). A Vision-Based Target Localization Method for Robot-Assisted Sonography. In 2023 28th International Conference on Automation and Computing (ICAC) (pp. 1-6). IEEE.
  14. Dong, J., Si, W., Wang, N., & Yang, C. (2023, August). Robot Learning from Multiple Demonstrations Based on Generalized Gaussian Mixture Model. In 2023 28th International Conference on Automation and Computing (ICAC) (pp. 1-6). IEEE.
  15. Si, W., Zhong, T, Wang, N. and Yang, C (2023, March). A Multimodal Interface-based Framework for Human-robot Collaboration. IEEE International Conference On Mechatronics, 2023
  16. Si, W., Guo, C., Dong, J., Lu, Z. and Yang, C., 2021. Deformation-aware Contact-rich Manipulation Skills Learning and Compliant Control. (15th International Workshop on Human-Friendly Robotics, included within Springer Proceedings in Advanced Robotics)
  17. Si, W., Yue, T., Guan, Y., Wang, N., & Yang, C. (2022, August). A Novel Robot Skill Learning Framework Based on Bilateral Teleoperation. In 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) (pp. 758-763). IEEE.
  18. Li, X., Si, W., & Yang, C. (2022, June). An Observation Based Method for Human Robot Writing Skill Transfer. In 2022 IEEE 17th International Conference on Control & Automation (ICCA) (pp. 412-417). IEEE.
  19. Dong, J., Si, W., & Yang, C. (2021, October). A DMP-based Online Adaptive Stiffness Adjustment Method. In IECON 2021–47th Annual Conference of the IEEE Industrial Electronics Society (pp. 1-6). IEEE.
  20. Si, W., Wang, N., & Yang, C. (2021, September). Reactive and constrained motion primitive merging and adaptation. In 2021 26th International Conference on Automation and Computing (ICAC) (pp. 1-6). IEEE.
  21. Wang, Z., She, H., & Si, W. (2017, July). Autonomous landing of multi-rotors UAV with monocular gimbaled camera on moving vehicle. In 2017 13th IEEE International Conference on Control & Automation (ICCA) (pp. 408-412). IEEE.
  22. W. Si, H. She and Z. Wang, “Fuzzy PID controller for UAV tracking moving target,” 2017 29th Chinese Control And Decision Conference (CCDC), Chongqing, China, 2017, pp. 3023-3027, doi: 10.1109/CCDC.2017.7979027.