Dr Weiyong Si

School of Computer Science and Electronic Engineering (CSEE)
Dr Weiyong Si
  • Email

  • Location

    4B.524, Colchester Campus

  • Academic support hours

    My Academic Support Hours will be Thursday 13:30-15:30 (Spring Term).



Dr Weiyong Si is a Lecturer (Assistant Professor) at the School of Computer Science and Electronic Engineering, University of Essex. He previously worked as a Research Assistant and Associate Lecturer with the School of Engineering, University of the West of England, affiliated with the Bristol Robotics Lab, and received Ph.D degree in Robotics and Machine Learning. He has been working on robot learning, robot control, teleoperation, machine vision, and guidance and navigation of autonomous systems. His research interest lies in the insection between AI and robotics. He currently focuses on robot learning and control, human-robot collaboration, mobile manipulation, and its applications in manufacturing, healthcare, and agriculture. Dr Weiyong Si has a strong background in robotics and AI. He has practical project experience in intelligent control, machine learning, learning from demonstration, multimodal perception, planning and navigation of intelligent robots. He has led several practical projects, such as robot-assisted medical examination, flexible manufacturing and the navigation and guidance of autonomous UAVs. If you are interested in his research, please feel free to reach out to him by email. He is a member of the Robotics Group. He is an IEEE Member and reviewer for several top journals and conferences including, IEEE Transactions on Robotics, IEEE Transactions on Industrial Electronics, IEEE Transactions on Automation Science and Engineering, ICRA, IROS etc. He is the co-organising chair and special session chair for 25th IEEE International Conference on Industrial Technology (ICIT), the local organising Committee of 27th International Conference on Automation and Computing (ICAC), and the session chair for ICRA2024.


  • PhD University of the West of England, Bristol, (2023)

  • MSc Beijing Institute of Technology, (2018)


University of Essex

  • Lecturer, School of Computer Science and Electronic Engineering (9/2023 - present)

Other academic

  • Reasearch Assistant, Bristol Robotics Laboratory (1/2020 - 9/2023)

  • Associate Lecturer, University of the West of England (9/2022 - 5/2023)

Research and professional activities

Research interests


Teleoperation combines a local human operator and a remote robot, integrating the intelligence of both humans and robots. Design the intuitive teleoperation interface by investigating multimodal sensing and feedback,

Key words: Intuitive Teleoperation
Open to supervise

Intelligent Robot

Study human-robot skill transfer and generalisation for contact-rich manipulation tasks, including medical examinations, manipulating deformable objects, and assembly in manufacturing. Investigate machine learning technologies, such as deep learning and reinforcement learning, and employ them in intelligent robots.

Key words: Learning from demonstration
Open to supervise

Human-centered robotics applications

Research in human-centered robotics aims to address the common challenges in assistive robots, industrial robots, and agricultural robots.

Key words: Human-robot interaction
Open to supervise

Machine learning

Study artificial intelligence for intelligent robots, which is the intention of machine learning, machine vision and robotics.

Key words: Multimodal perception
Open to supervise

Human-robot Interaction

Study the compliant control and human intention recognition for human-robot collaboration.

Mobile manipulation

Study the mobile manipulation skills learning and generalising and its applications.

Key words: Bimanual manipulator

Teaching and supervision

Current teaching responsibilities

  • Advanced Embedded Systems Design (CE323)

  • Advanced Embedded Systems Design (CE860)


Journal articles (14)

Zhao, G., Zeng, C., Si, W. and Yang, C., A human‐robot collaboration method for uncertain surface scanning. CAAI Transactions on Intelligence Technology

Si, W., Wang, N. and 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, 1-11

Yue, T., Si, W., Keller, A., Yang, C., Bloomfield-Gadêlha, H. and 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-

Lu, Z., Si, W., Wang, N. and Yang, C., (2024). Dynamic Movement Primitives-Based Human Action Prediction and Shared Control for Bilateral Robot Teleoperation. IEEE Transactions on Industrial Electronics, 1-10

Jin, Z., Si, W., Liu, A., Zhang, W-A., Yu, L. and Yang, C., (2023). Learning a Flexible Neural Energy Function With a Unique Minimum for Globally Stable and Accurate Demonstration Learning. IEEE Transactions on Robotics. 39 (6), 4520-4538

Lu, Z., Wang, N., Si, W. and Yang, C., (2023). Distributed Observer-Based Prescribed Performance Control for Multi-Robot Deformable Object Cooperative Teleoperation. IEEE Transactions on Automation Science and Engineering, 1-12

Dong, J., Si, W. and Yang, C., (2023). A novel human-robot skill transfer method for contact-rich manipulation task. Robotic Intelligence and Automation. 43 (3), 327-337

Xing, X., Burdet, E., Si, W., Yang, C. and Li, Y., (2023). Impedance Learning for Human-Guided Robots in Contact With Unknown Environments. IEEE Transactions on Robotics. 39 (5), 3705-3721

Zhang, D., Si, W., Fan, W., Guan, Y. and Yang, C., (2022). From Teleoperation to Autonomous Robot-assisted Microsurgery: A Survey. Machine Intelligence Research. 19 (4), 288-306

Si, W., Wang, N., Li, Q. and Yang, C., (2022). A Framework for Composite Layup Skill Learning and Generalizing Through Teleoperation. Frontiers in Neurorobotics. 16, 840240-

Si, W., Guan, Y. and 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

Yue, T., Si, W., Partridge, AJ., Yang, C., Conn, AT., Bloomfield-Gadelha, H. and Rossiter, J., (2022). A Contact-Triggered Adaptive Soft Suction Cup. IEEE Robotics and Automation Letters. 7 (2), 3600-3607

Si, W., Wang, N. and Yang, C., (2021). Composite dynamic movement primitives based on neural networks for human–robot skill transfer. Neural Computing and Applications. 35 (32), 23283-23293

Si, W., Wang, N. and Yang, C., (2021). A review on manipulation skill acquisition through teleoperation‐based learning from demonstration. Cognitive Computation and Systems. 3 (1), 1-16

Book chapters (1)

Si, W., Guo, C., Dong, J., Lu, Z. and Yang, C., (2023). Deformation-Aware Contact-Rich Manipulation Skills Learning and Compliant Control. In: Human-Friendly Robotics 2022. Springer International Publishing. 90- 104. 9783031227301

Conferences (18)

Si, W., A Vision-based Target Localization Method for Robot-assisted Sonography

Guo, P., Si, W. and Yang, C., (2024). Robot Hand-eye Calibration Method Incorporating Filtering Techniques

Yang, B., She, H., Si, W., Xu, Z., Yao, L. and Yang, X., (2024). Conditional Trigger Model Predictive Control for Aerial Manipulation

Xu, Z., She, H., Si, W., Yang, B., Yao, L. and Yang, X., (2024). Lightweight of SiamCAR Network for UAV Single Target Track

Wang, Z., Shi, D., Yang, C., Si, W. and Li, Q., (2024). Autonomous Liver Ultrasound Examination Based on Imitation Learning and Stiffness Estimation

Hu, H., Shi, D., Yang, C., Si, W. and Li, Q., (2024). A Novel Shared Control Framework Based on Imitation Learning

Yao, L., She, H., Si, W., Zhou, H., Yang, B. and Xu, Z., (2024). Mobile-SPEEDNet: A Lightweight Network for Non-Cooperative Spacecraft Pose Estimation

Si, W., Zhong, T., Wang, N. and Yang, C., (2023). A multimodal teleoperation interface for human-robot collaboration

Si, W., (2023). Robot Learning from Multiple Demonstrations Based on Generalized Gaussian Mixture Model

(2023). Best Student Paper Award

Si, W., Guo, C., Wang, N., Yang, M., Harris, R. and Yang, C., (2023). A Unified Deep Imitation Learning and Control Framework for Robot-Assisted Sonography

Lu, Z., Yue, T., Zhao, Z., Si, W., Wang, N. and Yang, C., (2023). MechTac: A Multifunctional Tendon-Linked Optical Tactile Sensor for In/Out-the-Field-of-View Perception with Deep Learning

Li, X., Si, W. and Yang, C., (2022). An Observation Based Method for Human Robot Writing Skill Transfer

Si, W., Yue, T., Guan, Y., Wang, N. and Yang, C., (2022). A Novel Robot Skill Learning Framework Based on Bilateral Teleoperation

Si, W., Wang, N. and Yang, C., (2021). Reactive and constrained motion primitive merging and adaptation

Dong, J., Si, W. and Yang, C., (2021). A DMP-based Online Adaptive Stiffness Adjustment Method

Si, W., She, H. and Wang, Z., (2017). Fuzzy PID controller for UAV tracking moving target

Wang, Z., She, H. and Si, W., (2017). Autonomous landing of multi-rotors UAV with monocular gimbaled camera on moving vehicle

Grants and funding


Innovate to Elevate Project (I2E) with FirstGrade Recycling to look at the robotic sorting of wood waste from other waste streams

Babergh and Mid Suffolk (Innovate to Elevate Programme)



4B.524, Colchester Campus

Academic support hours:

My Academic Support Hours will be Thursday 13:30-15:30 (Spring Term).

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