Publications

Selected Publications 

Peer-Reviewed Journal Papers

1. H. Yang, A. Zhang, Y. Sun, J. Li and P. Liu, “Regularized Sparse Bayesian Learning Based Channel Estimation for RIS-Assisted Wireless Communication System,” IEEE Communications Letters, 2024.

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

3. Z. Tang, K. Yang, H. Wang, Z. Cui, X. Jin, Y. Peng and P. Liu, “Bio-inspired soft pneumatic actuator based on a Kresling-like pattern with a rigid skeleton,” Journal of Advanced Research, under review, 2023.

4. G. Bian, M. Li, Z. Li, J. Wang, B. Wei, C. Xin and P. Liu, “Multi-stiffness Pre-bending Intelligent Instrument for Robotic Flexible Micro-catheter Delivery in Glaucoma Surgery,” IEEE Transactions on Medical Robotics and Bionics, under review, 2023.

5. H. Zhao, J. Wang, C. Li, R. Yang and P. Liu, “Fabric Defect Detection via feature fusion and total variation regularized low-rank decomposition,” Multimedia Tools and Applications, 2023. 

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

7. 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.

8. Y. Dong, Y. Liu, H. Kang, C. Li, P. Liu, and Z. Liu, “Lightweight and efficient neural network with SPSA attention for wheat ear detection,” PeerJ Computer Science, 2022.

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

10. 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. 

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

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

13. 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.

14. P. Liu, M. N. Huda, L. Sun and H. Yu, “A survey on underactuated robotic systems: Bio-inspiration, trajectory planning and control,” Mechatronics, 2020, 72, p.102443. 

15. A. Zhang, P. Liu, J. Sun and B. Ning, "Block-Sparsity Log-sum-Induced Adaptive Filter for Cluster Sparse System Identification," IEEE Access, 2020. 

16. 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, 2020. 

17. 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, 2020. 

18. 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, 2020. 

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

20. 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, 2019. 

21. A. Zhang and P. Liu, “Reweighted lp Constraint LMS-Based Adaptive Sparse Channel Estimation for Cooperative Communication System,” IET Communications, 2019. 

22. 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, 2019, pp. 1-15. DOI: 10.1007/s00366-019-00722-3.

23. 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,” 2019, DOI: 10.1109/JSEN.2018.2888815. 

24. P. Liu, H. Yu and S. Cang, “Optimized adaptive tracking control for an underactuated vibro-driven capsule system,” Nonlinear Dynamics, 2018, vol. 94, no. 3, pp. 1803-1817. 

25. P. Liu, H. Yu and S. Cang, “Modelling and analysis of dynamic frictional interactions of vibro-driven capsule systems with viscoelastic actuation,” European Journal of Mechanics - A/Solids, 2018, vol. 74, pp. 16-25. 

26. P. Liu, H. Yu and S. Cang, “Trajectory synthesis and optimization of an underactuated microrobotic system with dynamic constraints and couplings,” International Journal of Control, Automation and Systems, 16 (5) (2018), pp. 2373-2383.

27. P. Liu, H. Yu and S. Cang, “On the dynamics of a vibro-driven capsule system,” Archive of Applied Mechanics, 2018, vol. 88, no. 12, pp. 2199-2219. 

28. Z. Tang, C. Li, J. Wu and P. Liu, “Classification of EEG-based single-trial motor imagery tasks using a B-CSP method for BCI,” Frontiers of Information Technology & Electronic Engineering, 2018, DOI: 10.1631/FITEE.1000000. 

29. Z. Tang, H. Yang, L. Zhang and P. Liu, “Effect of shoulder angle variation on sEMG-based elbow joint angle estimation,” International Journal of Industrial Ergonomics, vol. 68, pp.280-289, 2018. 

30. P. Liu, H. Yu and S. Cang, “Geometric analysis-based trajectory planning and closed-loop control for underactuated capsule systems with viscoelastic property,” Transactions of the Institute of Measurement and Control, 40 (7), 2018, pp. 2416-2427. 

31. P. Liu, C. Li, A. Zhang and Q. Zhang, “Experiment teaching architecture structure reform and practice of signal processing,” China Educational Technique ＆ Equipment, vol. 15, p. 146, 2013. 

32. J. Xiao, Y. Li and P. Liu, “Research and practice of mode of training excellent engineers in electrical engineering and automation field,” Journal of Zhongyuan University of Technology, vol. 24, p. 055, 2013. 

33. L. Liu and P. Liu, “Design of digital power supply based on MCU,” Journal of Zhongyuan University of Technology, vol. 01, pp. 018, 2012. 

34. J. Xiao and P. Liu, “Application of fiber optic temperature measurement system in coal mine cable temperature monitoring based on Raman scattering,” Coal Mine Machinery, vol. 7, p. 097, 2012.

35. J. Xiao, Y. Du, Y. Li, H. Zhu, and P. Liu, “Study on two-stage fast charge method for VRLA batteries in PV systems,” Chinese Labat Man, vol. 1, p. 013, 2012. 

36. J. Xiao, P. Liu, Y. Du, and H. Zhu, “Design of multi-channel data acquisition system based on CPLD,” Journal of Zhongyuan University of Technology, vol. 3, p. 015, 2011. 

37. J. Xiao, H. Zhu, M. Tan, P. Liu and Y. Du, “Self-tuning fuzzy PID algorithm in the application of the MPPT,” Journal of Zhongyuan University of Technology, vol. 6, p. 013, 2011. 

Conference Papers 

1. R. Parr and P. Liu, “Investigation of the Importance of feature selection for hand gesture recognition using low-cost sEMG wristband,” International Conference on Intelligent Manufacturing and Robotics (ICIMR 2023), 2023.

2. S. Yang, P. Liu and N. Pears, “Benchmarking of robot arm motion planning in cluttered environments,” the 2023 IEEE International Conference on Automation and Computing (ICAC 2023), 2023.

3. S. Yang, P. Liu and N. Pears, “Reinforcement Learning-based Pipeline for Adaptive Probabilistic Movement Primitives in Hybrid-Scenarios,” The 24th Annual Conference Towards Autonomous Robotic Systems (TAROS2023), 2023.

4. S. Yang, P. Liu and N. Pears, “Benchmarking OMPL Planning Algorithms for Robot Arms in Cluttered Settings,” Yorkshire Innovation in Science and Engineering Conference (YISEC 2023), 2023.

5. X. Zhang, P. Liu and A. Millard, “Towards Long-horizon Motion Planning in Dynamic Environments,” The 24th Annual Conference Towards Autonomous Robotic Systems (TAROS2023), 2023.

6. X. Zhang, P. Liu and A. Millard, “Robot Motion Planning in Dynamic Environments: Comparisons and Applications,” Yorkshire Innovation in Science and Engineering Conference (YISEC 2023), 2023.

7. Z. Yang, N. Naz, P. Liu and M. N. Huda, “Evaluation of SLAM algorithms for Search and Rescue applications,” The 24th Annual Conference Towards Autonomous Robotic Systems (TAROS2023), 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.

8. 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).

9. 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.

10. 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) (CASE 2021), 2021.

11. S. Hu, E. Chew and P. Liu, “Bio-Inspired Humanoid Robotics Framework,” The 4th UK-RAS Conference for PhD Students & Early-Career Researchers (UKRAS21), under review, 2021.

12. 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. 

13. 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.

14. 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.

15. M. N. Huda, P. Liu, C. Saha and N. Naz, “Design and motion control of a novel hybrid robot,” the 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020), 2020.

16. J. Yang, E. Chew and P. Liu, “Service Humanoid Robotics: Review and Design of A Novel Bionic-Companionship Framework,” the 2020 Joint IEEE 10th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob), 2020, under review. 

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

18. Z. Yang, P. Liu, C. Saha, T. Kalganova and M. N. Huda, “Evaluation of SLAM algorithms for Search and Rescue applications,” the 21st Towards Robotics and Autonomous Systems Conference (TAROS 2020), 2020.

19. 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. 

20. 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. 

21. 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,” the 20th Towards Robotics and Autonomous Systems Conference (TAROS 2019), accepted, 2019. 

22. 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. 

23. P. Liu, K. ElGeneidy, S. Pearson, M. N. Huda and G. Neumann, “Towards real-time robotic motion planning for grasping in cluttered and uncertain environments,” in Proceedings of the 19th Towards Autonomous Robotic Systems (TAROS 2018) Conference, 2018, pp. 481-483. 

24. K. ElGeneidy, P. Liu, S. Pearson and G. Neumann, “Printable soft grippers with integrated bend sensing for handling of crops,” in Proceedings of the 19th Towards Autonomous Robotic Systems (TAROS 2018) Conference, 2018, pp. 479-480. 

25. Q. Fu, C. Hu, P. Liu and S. Yue, “Towards computational models of insect motion detectors for robot vision,” in Proceedings of the 19th Towards Autonomous Robotic Systems (TAROS 2018) Conference, 2018, pp. 465-467. 

26. P. Liu, H. Yu, and S. Cang, “Modelling and dynamic analysis of underactuated capsule systems with friction-induced hysteresis,” the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016), 2016, pp. 549-554. 

27. P. Liu, H. Yu, S. Cang and Luige Vladareanu, “Robots-assisted smart firefighting and interdisciplinary perspectives,” the 2016 IEEE International Conference on Automation and Computing (ICAC 2016), 2016, pp. 395-401.

28. P. Liu, H. Yu, and S. Cang, “Realizing the smartness in robot-assisted risky intervention, search, rescue and environmental surveillance: a feasibility study on firefighting,” EU Fusion & RABOT Workshop 2016, Bournemouth, 2016. 

29. P. Liu, H. Yu, and S. Cang, “On periodically pendulum-driven systems for underactuated locomotion: A viscoelastic jointed model,” the 2015 IEEE International Conference on Automation and Computing (ICAC 2015), 2015, pp. 1-6.

30. P. Liu, H. Yu, and S. Cang, “Geometric techniques for trajectory planning and chaos control of a bio-inspired autogenetic capsule robot,” the 7th BU Annual Postgraduate Conference, Bournemouth, 2015.

31. P. Liu, H. Yu, and S. Cang, “Intelligence-based prediction, compensation and robust adaptive control of UUMSs with hysteresis nonlinearity,” EU Fusion & RABOT Workshop 2015, Bournemouth, 2015. 

32. P. Liu, H. Yu, and S. Cang, “Modelling and control of an elastically joint-actuated cart-pole underactuated system,” the 2014 IEEE International Conference on Automation and Computing (ICAC 2014), 2014, pp. 26–31.

33. P. Liu, H. Yu, and S. Cang, “Modelling, dynamic analysis and control of capsubot systems with stable propulsion for medical and recovery assistances,” the 6th BU Annual Postgraduate Conference, Bournemouth, 2014.

34. P. Liu, H. Yu, and S. Cang, “Design, modelling and control of a capsule robot with hybrid propulsions for medical inspections and assistances,” the 5th BU Annual Postgraduate Conference, Bournemouth, 2014.

35. P. Liu, H. Yu, and S. Cang, “Modeling, Analysis and Control of a Class of Elastically Joints-actuated Multibody Systems,” the 3rd Sustainable e-Tourism Research and Applications Workshop, Bournemouth, 2014. 

36. J. Xiao, Y. Du, P. Liu, Y. Li, and F. Xiao, “Simulation of micro-Grid island operation,” in Proceedings of the 2012 Second International Conference on Electric Information and Control Engineering-Volume 04, 2012, pp. 584–586.

37. J. Xiao, Y. Yu, L. Liu, P. Liu, Y. Du, and L. Jia, “Research on hydraulic power plant monitor and control system based on NC2000,” in IEEE International Conference on Advanced Mechatronic Systems (ICAMechS 2012), 2012, pp. 690–694.

38. L. Liu and P. Liu, “Development of multi-channel temperature detection system based on CPLD,” in Proceedings of the 2012 Second International Conference on Electric Information and Control Engineering-Volume 03, 2012, pp. 388–390. 

39. J. Xiao, P. Liu, L. Jiao, H. Zhu, and Y. Du, “Design of PV power station remote monitoring system data acquisition device,” in IEEE International Conference on Advanced Mechatronic Systems (ICAMechS 2011), 2011, pp. 367–372. 

Books

1. 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 and G. Susto, “Advances in Robotics, Automation and Data Analytics,” Springer, Switzerland, 2021.

2. G. Wang, X. Wang and P. Liu, “Motor control and its applications,” Publishing House of Electronics Industry, China, 2012.