Dr Weiyong Si
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Email
w.si@essex.ac.uk -
Location
4B.524, Colchester Campus
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Academic support hours
My Academic Support Hours will be Thursday 13:30-15:30 (Spring Term).
Profile
Biography
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. He has rich experience supervising undergraduate and graduate students, guiding them through projects, and collaborating with them to publish their work. He is always enthusiastic about collaborating with highly motivated students and collaborators. 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 including, IEEE Transactions on Robotics, IEEE Transactions on Industrial Electronics, IEEE Transactions on Automation Science and Engineering etc. He is the co-organising chair and session chair for 25th IEEE International Conference on Industrial Technology, the local organising Committee of 27th International Conference on Automation and Computing.
Qualifications
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PhD University of the West of England, Bristol, (2023)
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MSc Beijing Institute of Technology, (2018)
Appointments
University of Essex
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Lecturer, School of Computer Science and Electronic Engineering (9/2023 - present)
Other academic
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Reasearch Assistant, Bristol Robotics Laboratory (1/2020 - 9/2023)
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Associate Lecturer, University of the West of England (9/2022 - 5/2023)
Research and professional activities
Research interests
Teleoperation
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,
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.
Human-centered robotics applications
Research in human-centered robotics aims to address the common challenges in assistive robots, industrial robots, and agricultural robots.
Machine learning
Study artificial intelligence for intelligent robots, which is the intention of machine learning, machine vision and robotics.
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.
Teaching and supervision
Current teaching responsibilities
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Advanced Embedded Systems Design (CE323)
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Advanced Embedded Systems Design (CE860)
Publications
Journal articles (13)
Zhao, G., Zeng, C., Si, W. and Yang, C., A human‐robot collaboration method for uncertain surface scanning. CAAI Transactions on Intelligence Technology
Lu, Z., Wang, N., Si, W. and Yang, C., (2024). Distributed Observer-Based Prescribed Performance Control for Multi-Robot Deformable Object Cooperative Teleoperation. IEEE Transactions on Automation Science and Engineering, 1-12
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-
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
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 (12)
Si, W., A Vision-based Target Localization Method for Robot-assisted Sonography
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
Contact
Academic support hours:
My Academic Support Hours will be Thursday 13:30-15:30 (Spring Term).
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