Dr Pengcheng Liu

Contact Information:

 Email: pengcheng.liu@york.ac.uk 


 Phone: +44 (0)1904 325548

 Address: Department of Computer Science

                  University of York, 

                 Deramore Lane, York YO10 5GH

I'm an Associate Professor at the Department of Computer Science, University of York, UK. Before joining York, I have held several academic positions including a Senior Lecturer at Cardiff School of Technologies, Cardiff Metropolitan University, UK, a joint Research Fellowship at Lincoln Centre for Autonomous Systems (LCAS) and Lincoln Institute of Agri-Food Technology (LIAT), University of Lincoln, UK, a Research Assistant and a Teaching Assistant at Bournemouth University, UK, and a Lectureship at Zhongyuan University of Technology, China.  I also held academic positions as a Visiting Fellow at Institute of Automation, Chinese Academy of Sciences, China and Shanghai Jiao Tong University, China.

I am a Member of IEEE, IEEE Robotics and Automation Society (RAS), IEEE Systems, Man and Cybernetics Society (SMC), IEEE Control Systems Society (CSS) and IFAC. I'm member of IEEE Technical Committees (TC) on Bio Robotics, Soft Robotics, Robot Learning, and Safety, Security and Rescue Robotics. I've published over 60 journal and conference papers. I serve as an Associate Editor for IEEE Access and PeerJ Computer Science. I received the Global Peer Review Awards from Web of Science in 2019, and the Outstanding Contribution Awards from Elsevier in 2017. I was selected as regular Fundings/Grants reviewer for EPSRC, NIHR and NSFC. I have great experience in securing and involving in research projects and grants, including EPSRC, Innovate UK, Horizon 2020, Erasmus Mundus, FP7-PEOPLE, HEIF, NHS I4I, NSFC, etc. I also serve as a regular reviewer for about 30 mainstream journals and 8 flagship conferences across the domains of Robotics, artificial intelligence, and Control. 

I am always looking for talented, highly motivated PhD applicants with a Master degree or BSc/BEng degree in Engineering / Computer Science / Applied Mathematics. PhD positions with possible full/partial studentships in the area of: 

Potential candidates are encouraged to contact Dr Pengcheng Liu directly for informal discussions.


C. Li, H. Li, G. Gao, Z. Liu and P. Liu, “2EAFS: Network Pruning via 2-D Entropy Feature Evaluation and Fast Adaptive Filter Selection,” Applied Soft Computing, 2023.

T. Emmerson and P. Liu, “CoM Estimation of Grasped Objects via Cost Effective Sensors,” The 10th International Conference on Robot Intelligence Technology and Applications (RITA 2022), 2022.

B. He, A. Zhang, W. Hao, P. Liu and B. Ning, “Multiple Beam Selection and Near-optimal Digital Precoding for Multiuser Millimeter-Wave Massive MIMO Systems,” IEEE Transactions on Circuits and Systems II: Express Briefs, 2022.

Y. Zhao, Y. Shan, C. Pei, H. Yu and P. Liu, “A novel design of passive variable stiffness soft robotic gripper,” Bioinspiration & Biomimetics, 2022.

B. Marsh and P. Liu, “A Novel Two-Hand-Inspired Hybrid Robotic End-Effector Fabricated Using 3D Printing,” The 23rd Annual Conference Towards Autonomous Robotic Systems (TAROS2022).

B. Willis and P. Liu, “Simulation, Design and Control of a Soft Robotic Arm with Integrated Bending Sensing,” The IEEE 20th International Conference on Advanced Robotics (ICAR), 2021.

S. Liu and P. Liu, “Robot motion planning benchmarking and optimization through motion planning pipeline,” The International Journal of Advanced Manufacturing Technology, 2021.

J. Yang, E. Chew and P. Liu, “Service humanoid robotics: a novel interactive system based on bionic-companionship framework,” PeerJ Computer Science, 2021.

S. Liu and P. Liu, “Robot motion planning benchmarking and optimization through motion planning pipeline,” The 17th IEEE International Conference on Automation Science and Engineering (CASE 2021), 2021.

Outstanding Associate Editor of 2020, IEEE Access

J. A. Mat Jizat, I. M. Khairuddin, M. A. M. Razman, A. F. Ab. Nasir, M. S. A. Karim, A. A. Jaafar, L. W. Hong, A. P. P. A. Majeed, P. Liu, H. Myung, H. Choi, G. Susto, “Advances in Robotics, Automation and Data Analytics,” Springer, Switzerland, 2021.  Link

Y. Feng, M. Zhong, X. Wang, H. Lu, H. Wang, P. Liu and L. Vladareanu, “Active triggering control of pneumatic rehabilitation gloves based on surface electromyography sensors,” PeerJ Computer Science, 2021.

B. Zhang and P. Liu, “Control and benchmarking of a 7-DOF robotic arm using Gazebo and ROS,” PeerJ Computer Science, 2021.

How to Apply: https://iggi.org.uk/apply

Find my projects from here: https://iggi.org.uk/IGGI%20PhD%20Projects%202021

PeerJ Computer Science (ISSN: 2376-5992, IF: 3.09)

Special Issue on "Advances in Computational Learning for Robotics"

Deadline for manuscript submissions: 31 March 2021

Special Issue Website: https://peerj.com/collections/81-computational-learning-robotics/ 

A. Zhang, W. Cao, P. Liu, J. Sun and J. Li, “Channel Estimation for MmWave Massive MIMO with Hybrid Precoding Base on Log-Sum Sparse Constraints,” IEEE Transactions on Circuits and Systems II: Express Briefs, 2020. 

J. Yang, E. Chew and P. Liu, “Service humanoid robotics: Review and design of the novel bionic-companionship conceptual framework,” The 8th International Conference on Robot Intelligence Technology and Applications (RITA 2020), 2020. 

B. Zhang and P. Liu, “Model-based and model-free robot control: a review,” The 8th International Conference on Robot Intelligence Technology and Applications (RITA 2020), 2020.

S. Liu and P. Liu, “A review of motion planning algorithms for robotic arm systems,” The 8th International Conference on Robot Intelligence Technology and Applications (RITA 2020), 2020. 

P. Liu, M. N. Huda, L. Sun and H. Yu, “A survey on underactuated robotic systems: bio-inspiration, trajectory planning and control,” Mechatronics, 2020.

A. Zhang, P. Liu, J. Sun and B. Ning " Block-sparsity log-sum-induced adaptive filter for cluster sparse system identification," IEEE Access, 2020. 

J. Zhang, Z. Jin, Y. Zhao, Y. Tang, F. Liu and P. Liu, " Design and Implementation of Novel Fractional-Order Controllers for Stabilized Platforms," IEEE Access (Impact Factor: 4.098), 2020. 

P. Liu and M. N. Huda, “Adaptive Control of an Underactuated Capsule Robotic System,” the 39th Chinese Control Conference (CCC 2020), 2020.

M. N. Huda, P. Liu, C. Saha and H. Yu, “Modelling and motion analysis of a pill-sized hybrid capsule robot,” Journal of Intelligent & Robotic Systems (Impact Factor: 2.02), 2020. 

Q. Li, A. Zhang, P. Liu, J. Li and C. Li, “A novel CSI feedback approach for massive MIMO using LSTM-attention CNN,” IEEE Access (Impact Factor: 4.098), 2020.

P. Liu, H. Yu and S. Cang, “Adaptive neural network tracking control for underactuated mechanical systems with matched and unmatched disturbances,” Nonlinear Dynamics (Impact Factor: 4.604), 2019, DOI: 10.1007/s11071-019-05170-8. 

Z. Tang, H. Yu, C. Lu and P. Liu, “Single-trial classification of different movements on one hand based on ERD/ERS and corticomuscular coherence,” IEEE Access (Impact Factor: 4.098), 2019.

      A. Zhang and P. Liu, “Reweighted lp Constraint LMS-Based Adaptive Sparse Channel Estimation for Cooperative Communication System,” IET Communications (Impact Factor: 1.779), 2019.

    A. Shyam, P. Lightbody, G. Das, P. Liu, S. Gomez-Gonzalez and G. Neumann, “Improving local trajectory optimisation using probabilistic movement primitives,” the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019), 2019.

    M. N. Huda, P. Liu, C. Saha, N. Naz, S. M. Aziz, “Design of a Novel Hybrid Robot for In-Vivo Applications,” Workshop on *Endovascular Intervention* at the Hamlyn Symposium on Medical Robotics 2019, 2019.

    A. Cachia, M. N. Huda, P. Liu, C. Saha, A. Tickle, J. Arvanitakis, S. M. Aziz, “Development and evaluation of a novel robotic system for search and rescue ,” 20th Towards Autonomous Robotic Systems (TAROS) Conference, 2019.

    P. Liu, M. N. Huda, Z. Tang and L. Sun, “A self-propelled robotic system with a visco-elastic joint: dynamics and motion analysis,” Engineering with Computers (Impact Factor: 3.551), 2019, pp. 1-15. DOI: 10.1007/s00366-019-00722-3. [BibTex] [Download PDF]

     L. Sun, C. Zhao, Z. Yan, P. Liu, T. Duckett and R. Stolkin, “A novel weakly-supervised approach for RGB-D-based nuclear waste object detection and categorization,” IEEE Sensor Journal (Impact Factor: 3.076), 2019, DOI: 10.1109/JSEN.2018.2888815. [BibTex] [Download PDF]

   Liu, P., Yu, H. and Cang, S., 2019. Modelling and analysis of dynamic frictional interactions of vibro-driven capsule systems with viscoelastic property. European Journal of Mechanics-A/Solids (Impact Factor: 2.931), 74, pp.16-25. [BibTex] [Download PDF]

    P. Liu, G. Neumann, Q. Fu, S. Pearson and H. Yu, “Energy-efficient design and control of a vibro-driven robot,” the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018), 2018, pp. 1464-1469. [BibTex] [Download PDF]

    Tang, Z., Yang, H., Zhang, L. and Liu, P., 2018. Effect of shoulder angle variation on sEMG-based elbow joint angle estimation. International Journal of Industrial Ergonomics (Impact Factor: 1.571), 68, pp.280-289. [BibTex] [Download PDF]

    Liu, P., Yu, H. and Cang, S., 2018. On the dynamics of a vibro-driven capsule system. Archive of Applied Mechanics (Impact Factor: 1.578), 88(12), pp.2199-2219. [BibTex] [Download PDF]

    Liu, P., Yu, H. and Cang, S., 2018. Optimized adaptive tracking control for an underactuated vibro-driven capsule system. Nonlinear Dynamics (Impact Factor: 4.604), 94(3), pp.1803-1817. [BibTex] [Download PDF]