Dr Chenguang Yang
Senior Lecturer
Engineering
Telephone: (01792) 602803
Room: Academic Office - A_211
Second
Engineering Central
Bay Campus

Specialist Subjects: Learning Systems, Control System Technologies, Mechatronics, Signal Processing, Biomimetics, Robotics and Automation

Dr Yang has made a number of significant achievements in robotics and automation. He has been awarded the IEEE Transactions on Robotics Best Paper Award and a number of best paper awards from leading international conferences including IEEE ICIA, HSI, WCICA and etc. He received EU Marie Curie International Incoming Fellowship as a named individual researcher and EPSRC First grant as PI. He is a Fellow of Higher Education Academy (HEA) and Senior Member of IEEE.

Publications

  1. & Control Design of a Marine Vessel System Using Reinforcement Learning. Neurocomputing
  2. & Decentralized Adaptive Synchronization of a Class of Discrete-Time Coupled Hidden Leader–Follower Multi-agent Systems. In Quanmin Zhu, Jing Na, Xing Wu (Ed.), Innovative Techniques and Applications of Modelling, Identification and Control. -271). Springer Link.
  3. & Brain–Machine Interface and Visual Compressive Sensing-Based Teleoperation Control of an Exoskeleton Robot. IEEE Transactions on Fuzzy Systems 25(1), 58-69.
  4. & Neural-Learning-Based Telerobot Control With Guaranteed Performance. IEEE Transactions on Cybernetics, 1-12.
  5. & Adaptive Neural Network Based Variable Stiffness Control of Uncertain Robotic Systems Using Disturbance Observer. IEEE Transactions on Industrial Electronics 64(3), 2236-2245.

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Teaching

  • EG-M111 Automation & Robotics

    The module will provide the knowledge and skills to design, build and safe operation of industrial robotic and automation systems. Systematic introduction of kinematics robot manipulator will be given, based on the learning of homogeneious transformation matrix and Denavit Hartenburg (DH) convention. The graduate will gain a critical awareness in selecting and applying appropriate automation and robotic equipment for industrial applications, and they will be able to identify DH parameters of a given robot manipulator and then calculate its forward/inverse kinematics.

  • EGA366 Kinematics and Programming for Robot

    This module first examines the historical development of robotics, both technical and sociological. And then introduces various application of robot technologies focusing on manufacturing, both existing and potential are examined. The core of the module lies in the studies of robot kinematics including trajectory planning and programming. As part of this, industrial standard robot models are analysed and practically experienced through simulation toolkit and commercial software.

Supervision

  • Control and Interface Design of Human Robot Interaction«br /»«br /»«br /»«br /»«br /» (current)

    Student name:
    PhD
    Other supervisor: Dr Christian Griffiths
    Other supervisor: Dr Chenguang Yang
  • Learning Algorithm Design for Human Robot Skill Transfer (current)

    Student name:
    PhD
    Other supervisor: Dr Cinzia Giannetti
    Other supervisor: Dr Chenguang Yang