Dr Ze Ji

2023

• Wei, C., Wang, H., Bai, H., Ji, Z. and Liu, Z. 2023. PPLC: Data-driven offline learning approach for excavating control of cutter suction dredgers. Engineering Applications of Artificial Intelligence 125, article number: 106708. (10.1016/j.engappai.2023.106708)
• Wei, C., Li, Y., Ouyang, Y. and Ji, Z. 2023. Deep reinforcement learning with heuristic corrections for UGV navigation. Journal of Intelligent and Robotic Systems 109, article number: 18. (10.1007/s10846-023-01950-y)
• Gao, Y., Wu, J., Yang, X. and Ji, Z. 2023. Efficient hierarchical reinforcement learning for mapless navigation with predictive neighbouring space scoring. IEEE Transactions on Automation Science and Engineering
• Lu, Y., Ji, Z., Yang, L. and Jia, W. 2023. Mask Positioner: An effective segmentation algorithm for green fruit in complex environment. Journal of King Saud University - Computer and Information Sciences 35(7), article number: 101598. (10.1016/j.jksuci.2023.101598)
• Zhao, R., Guan, Y., Lu, Y., Ji, Z., Yin, X. and Jia, W. 2023. FCOS-LSC: A novel model for green fruit detection in a complex orchard environment. Plant Phenomics 5, article number: 69. (10.34133/plantphenomics.0069)
• Yang, X., Ji, Z., Wu, J. and Lai, Y. 2023. Recent advances of deep robotic affordance learning: a reinforcement learning perspective. IEEE Transactions on Cognitive and Developmental Systems (10.1109/TCDS.2023.3277288)
• Munguia-Galeano, F., Veeramani, S., Hernández, J. D., Wen, Q. and Ji, Z. 2023. Affordance-Based Human-Robot Interaction With Reinforcement Learning. IEEE Access 11, pp. 31282-31292. (10.1109/ACCESS.2023.3262450)
• Alsudays, N., Wu, J., Lai, Y. and Ji, Z. 2023. Afpsnet: multi-class part parsing based on scaled attention and feature fusion. Presented at: IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, Hawaii,, 3-7 Jan 20232023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE pp. 4022-4031., (10.1109/WACV56688.2023.00402)
• Gao, Y., Ji, Z., Wu, J., Wei, C. and Grech, R. 2023. Hierarchical reinforcement learning-based mapless navigation with predictive exploration worthiness. Presented at: IEEE International Conference on Mechatronics and Automation, Harbin, Heilongjiang, China, 6-9 August 2023.
• Bhaduri, D., Mason, B., Bigot, S. and Ji, Z. 2023. Development and realisation of a metal additive manufacturing pilot line and post-processing of parts via laser ablation and polishing. Presented at: 8th Industrial Laser Applications Symposium, Daventry, UK, 22 - 23 March 2023.
• Galeano, F. M., Arroyo, L. O., Villarreal-Cervantes, M. G. and Ji, Z. 2023. Towards integrating 3D printing and automated assembly. Presented at: 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE), 26-30 August 2023.
• Tong, Y., Zhang, Q., Galeano, F. M. and Ji, Z. 2023. Designing an AR facial expression system for human-robots collaboration. Presented at: IEEE ICAC 2023, 30 August - 01 September 2023.
• Rayamane, P., Munguia-Galeano, F., Tafrishi, S. A. and Ji, Z. 2023. Towards smooth human-robot handover with a vision-based tactile sensor. Presented at: Towards Autonomous Robotic Systems (TAROS) 2023, 13-15 September 2023.

2022

• Meng, J., Liu, Y., Bucknall, R., Guo, W. and Ji, Z. 2022. Anisotropic GPMP2: a fast continuous-time Gaussian processes based motion planner for unmanned surface vehicles in environments with ocean currents. IEEE Transactions on Automation Science and Engineering 19(4), pp. 3914-3931. (10.1109/TASE.2021.3139163)
• Feng, S., Chen, Z., Bircher, B., Ji, Z., Nyborg, L. and Bigot, S. 2022. Predicting laser powder bed fusion defects through in-process monitoring data and machine learning. Materials & Design 222, article number: 111115. (10.1016/j.matdes.2022.111115)
• Fajardo, J. M., González Roldan, F., Realpe, S., Hernandez, J. D., Ji, Z. and Cardenas, P. 2022. FRobs_RL: A flexible robotics reinforcement learning library. Presented at: IEEE International Conference on Automation Science and Engineering (CASE), Mexico City, 20 - 24 August 20222022 IEEE 18th International Conference on Automation Science and Engineering (CASE). IEEE, (10.1109/CASE49997.2022.9926586)
• Ling, H. et al. 2022. Motion planning combines human motion prediction for human-robot cooperation. Presented at: 12th International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER), Baishan, China, 27-31 July 20222022 12th International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER). IEEE, (10.1109/CYBER55403.2022.9907516)
• You, Y., Ji, Z., Yang, X. and Liu, Y. 2022. From human-human collaboration to human-robot collaboration: automated generation of assembly task knowledge model. Presented at: 27th IEEE International Conference on Automation and Computing (ICAC2022), Bristol, UK, 1-3 Sept 20222022 27th International Conference on Automation and Computing (ICAC). IEEE, (10.1109/ICAC55051.2022.9911131)
• Yang, X., Ji, Z., Wu, J. and Lai, Y. 2022. Abstract demonstrations and adaptive exploration for efficient and stable multi-step sparse reward reinforcement learning. Presented at: 27th IEEE International Conference on Automation and Computing (ICAC2022), Bristol, United Kingdom, 1-3 September 20222022 27th International Conference on Automation and Computing (ICAC). IEEE, (10.1109/ICAC55051.2022.9911100)
• Yang, X., Ji, Z., Wu, J., Lai, Y., Wei, C., Liu, G. and Setchi, R. 2022. Hierarchical reinforcement learning with universal policies for multi-step robotic manipulation. IEEE Transactions on Neural Networks and Learning Systems 33(9), pp. 4727-4741. (10.1109/TNNLS.2021.3059912)
• Liu, J., Zhao, Y., Jia, W. and Ji, Z. 2022. DLNet: Accurate segmentation of green fruit in obscured environments. Journal of King Saud University - Computer and Information Sciences 34(9), pp. 7259-7270. (10.1016/j.jksuci.2021.09.023)
• Sun, M., Xu, L., Chen, X., Ji, Z., Zheng, Y. and Jia, W. 2022. Bfp net: balanced feature pyramid network for small apple detection in complex orchard environment. Plant Phenomics 2022, article number: 9892464. (10.34133/2022/9892464)
• Chen, H., Liu, G., Tian, G., Zhang, J. and Ji, Z. 2022. Safe distance prediction for braking control of bridge cranes considering anti-swing. International Journal of Intelligent Systems 37(8), pp. 4845-4863. (10.1002/int.22743)
• Rayamane, P., Ji, Z. and Packianather, M. 2022. Design and development of a robust vision-based tactile sensor. Presented at: 2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Sapporo, Japan, 11-15 July 20222022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). IEEE, (10.1109/AIM52237.2022.9863285)
• Wang, L., Ji, Z. and Setchi, R. 2022. Collaboration of KUKA robots on adjusting assembly of motion mechanism. Presented at: Eighth Asia International Symposium on Mechatronics (AISM 2021), 16-19 December 2021 Presented at Duan, B., Umeda, K. and Kim, C. eds.Proceedings of the Eighth Asia International Symposium on Mechatronics, Vol. 885. Lecture Notes in Electrical Engineering, (10.1007/978-981-19-1309-9_100)
• Lambay, A., Liu, Y., Ji, Z. and Morgan, P. 2022. Effects of demographic factors for fatigue detection in manufacturing. Presented at: 14th IFAC Workshop on Intelligent Manufacturing Systems (IMS 2022), Tel-Aviv, Israel, 28-30 March 2022IFAC-PapersOnLine, Vol. 55(2). Elsevier pp. 528-533., (10.1016/j.ifacol.2022.04.248)
• Jia, W., Zhang, Z., Shao, W., Ji, Z. and Hou, S. 2022. RS-Net: robust segmentation of green overlapped apples. Precision Agriculture 23, pp. 492-513. (10.1007/s11119-021-09846-3)
• You, Y., Chen, C., Hu, F., Liu, Y. and Ji, Z. 2022. Advances of digital twins for predictive maintenance. Presented at: 3rd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2021), Linz, Austria, 17-19 November 2021, Vol. 200. Procedia Computer Science, Vol 200: pp. 1471-1480., (10.1016/j.procs.2022.01.348)
• Wei, C., Bai, H., Wei, Y., Ji, Z. and Liu, Z. 2022. Learning manipulation skills with demonstrations for the swing process control of dredgers. Ocean Engineering 246, article number: 110545. (10.1016/j.oceaneng.2022.110545)
• Lin, F., Ji, Z., Wei, C. and Grech, R. 2022. Localisation-safe reinforcement learning for mapless navigation. Presented at: IEEE International Conference on Robotics and Biomimetics (IEEE ROBIO 2022), Jinghong, China, 5-9 December 2022IEEE International Conference on Robotics and Biomimetics (ROBIO). IEEE pp. 1327-1334., (10.1109/ROBIO55434.2022.10011937)

2021

• Liu, G., Zhang, Q., Cao, Y., Tian, G. and Ji, Z. 2021. Online human action recognition with spatial and temporal skeleton features using a distributed camera network. International Journal of Intelligent Systems 36(12), pp. 7389-7411. (10.1002/int.22591)
• Yao, L., Kanoulas, D., Ji, Z. and Liu, Y. 2021. ShorelineNet: an efficient deep learning approach for shoreline semantic segmentation for unmanned surface vehicles. Presented at: 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Prague, Czech Republic, 27 September - 01 October 20212021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). pp. 5403-5409., (10.1109/IROS51168.2021.9636614)
• Ji, Z. and Amer, A. 2021. Human locomotion activity recognition using spectral analysis and convolutional neural networks. International Journal of Manufacturing Research 16, article number: 4. (10.1504/IJMR.2021.10039081)
• Lin, F., Ji, Z., Wei, C. and Niu, H. 2021. Reinforcement learning-based mapless navigation with fail-safe localisation. Presented at: 21st Towards Autonomous Robotic Systems Conference (TAROS 2021), Virtual and Lincoln, UK, 8-10 September 2021 Presented at Fox, C. et al. eds.Towards Autonomous Robotic Systems: 22nd Annual Conference, TAROS 2021, Lincoln, UK, September 8–10, 2021, Proceedings. Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence Springer pp. 100-111., (10.1007/978-3-030-89177-0_10)
• Djoudi, S., Frampton, J. M., Murphy, A., Scammell, T., Wright, T. and Ji, Z. 2021. Designing a multi-locomotion modular snake robot. Presented at: 21st Towards Autonomous Robotic Systems Conference (TAROS 2021), Virtual, 8-10 September 2021 Presented at Fox, C. et al. eds.Towards Autonomous Robotic Systems: 22nd Annual Conference, TAROS 2021, Lincoln, UK, September 8–10, 2021, Proceedings. Lecture Notes in Computer Science Springer pp. 249-259., (10.1007/978-3-030-89177-0_26)
• Yang, X., Ji, Z., Wu, J. and Lai, Y. 2021. An open-source multi-goal reinforcement learning environment for robotic manipulation with Pybullet. Presented at: 21st Towards Autonomous Robotic Systems Conference (TAROS 2021), Virtual, 8-10 September 2021 Presented at Fox, C. et al. eds.Towards Autonomous Robotic Systems. TAROS 2021. Lecture Notes in Computer Science Springer pp. 14-24.
• Wen, J. et al. 2021. Dynamic analysis and structure optimization on trapezoidal wave generator for eliminating the over deviation of the residual wave in shock test measurement. Measurement 182, article number: 109665. (10.1016/j.measurement.2021.109665)
• Wen, J., Yao, H., Ji, Z., Wu, B. and Xu, F. 2021. Self-validating high-g accelerometers through data-driven methods. Sensors and Actuators A: Physical 328, article number: 112803. (10.1016/j.sna.2021.112803)
• Tian, Y., Yang, Y., Yang, H. and Ji, Z. 2021. Model implementation and analysis of a true three-dimensional display system. Computer Systems Science and Engineering 39(3), pp. 403-414. (10.32604/csse.2021.016357)
• Lambay, A., Liu, Y., Morgan, P. and Ji, Z. 2021. A data-driven fatigue prediction using recurrent neural networks. Presented at: 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA2021), Ankara, Turkey, 11-13 June 20212021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA). IEEE pp. 1-6., (10.1109/HORA52670.2021.9461377)
• Le Roux, L. et al. 2021. Automatised quality assessment in additive layer manufacturing using layer-by-layer surface measurements and deep learning. Presented at: 14th CIRP Conference on Intelligent Computation in Manufacturing Engineering 2020, Naples, Italy, 15-17 July 2020, Vol. 99. Elsevier pp. 342-347., (10.1016/j.procir.2021.03.050)
• Wei, C., Wei, Y. and Ji, Z. 2021. Model predictive control for slurry pipeline transportation of a cutter suction dredger. Ocean Engineering 227, article number: 108893. (10.1016/j.oceaneng.2021.108893)
• Stergianelis, D., McConnell, M., Ji, Z., Huang, Y. and Yu, H. 2021. A simulation study of simple local path planning and control for unmanned surface vehicles. Presented at: Global OCEANS 2020: Singapore-U.S. Gulf Coast, Virtual, 5-14 October 2020Global Oceans 2020: Singapore – U.S. Gulf Coast. IEEE pp. 1-10., (10.1109/IEEECONF38699.2020.9389484)
• Niu, H., Ji, Z., Savvaris, A., Tsourdos, A. and Carrasco, J. 2021. Model checking for decision making system of long endurance unmanned surface vehicle. Presented at: 2021 IEEE/SICE International Symposium on System Integration (SII), Iwaki, Fukushima, Japan, 11-14 January 20212021 IEEE/SICE International Symposium on System Integration (SII). IEEE pp. 256-262., (10.1109/IEEECONF49454.2021.9382677)
• Niu, H., Ji, Z., Liguori, P., Yin, H. and Carrasco, J. 2021. Design, integration and sea trials of 3D printed unmanned aerial vehicle and unmanned surface vehicle for cooperative missions. Presented at: 2021 IEEE/SICE International Symposium on System Integration (SII2021), Iwaki, Fukushima, Japan, 11-14 January 20212021 IEEE/SICE International Symposium on System Integration (SII). IEEE pp. 590-591., (10.1109/IEEECONF49454.2021.9382687)
• Niu, H., Ji, Z., Zhu, Z., Yin, H. and Carrasco, J. 2021. 3D vision-guided pick-and-place using kuka LBR iiwa robot. Presented at: 2021 IEEE/SICE International Symposium on System Integration (SII2021), Iwaki, Fukushima, Japan, 11-14 January 20212021 IEEE/SICE International Symposium on System Integration (SII). IEEE pp. 592-593., (10.1109/IEEECONF49454.2021.9382674)
• Feng, X., Yang, Y., Qi, X., Xu, C. and Ji, Z. 2021. Output feedback NCS of DoS attacks triggered by double-ended events. Security and Communication Networks 2021, article number: 6643034. (10.1155/2021/6643034)
• Yao, Z., Huang, Q., Ji, Z., Li, X. and Bi, Q. 2021. Deep learning-based prediction of piled-up status and payload distribution of bulk material. Automation in Construction 121, article number: 103424. (10.1016/j.autcon.2020.103424)
• Wen, J., Yao, H., Ji, Z. and Xia, M. 2021. On fault diagnosis for high-g accelerometers via data-driven models. IEEE Sensors Journal 21(2), pp. 1359-1368. (10.1109/JSEN.2020.3019632)
• Niu, H., Ji, Z., Arvin, F., Lennox, B., Yin, H. and Carrasco, J. 2021. Accelerated sim-to-real deep reinforcement learning: learning collision avoidance from human player. Presented at: 2021 IEEE/SICE International Symposium on System Integration (SII2021), Iwaki, Fukushima, Japan, 11-14 January 2021.

2020

• Ji, Z. and Han, Q. 2020. A novel image feature descriptor for SLM spattering pattern classification using a consumable camera. International Journal of Advanced Manufacturing Technology 110(11-12), pp. 2955-2976. (10.1007/s00170-020-05995-3)
• Sukor, A. S. A., Setchi, R. and Ji, Z. 2020. Abnormality detection approach in smart homes using case-based reasoning. Presented at: IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS), Virtual (Shah Alam, Malaysia), 20 June 2020IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS 2020). IEEE pp. 176-181., (10.1109/I2CACIS49202.2020.9140077)
• Wei, C., Ji, Z. and Cai, B. 2020. Particle swarm optimization for cooperative multi-robot task allocation: a multi-objective approach. IEEE Robotics and Automation Letters 5(2), pp. 2530-2537. (10.1109/LRA.2020.2972894)
• Wen, J., Yao, H., Wu, B., Ren, Y. and Ji, Z. 2020. A deep learning approach to recover high-g shock signals from the faulty accelerometer. IEEE Sensors Journal 20(4), pp. 1761-1769. (10.1109/JSEN.2019.2949241)
• He, L., Liu, G., Tian, G., Zhang, J. and Ji, Z. 2020. Efficient multi-view multi-target tracking using a distributed camera network. IEEE Sensors Journal 20(4), pp. 2056-2063. (10.1109/JSEN.2019.2949385)
• Niu, H., Ji, Z., Savvaris, A. and Tsourdos, A. 2020. Energy efficient path planning for unmanned surface vehicle in spatially-temporally variant environment. Ocean Engineering 196, article number: 106766. (10.1016/j.oceaneng.2019.106766)
• Liu, G., He, H., Tian, G., Zhang, J. and Ji, Z. 2020. Online collision avoidance for human-robot collaborative interaction concerning safety and efficiency. Presented at: 2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM 2020), Online, 6-10 July 2020IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). IEEE pp. 1167-1672., (10.1109/AIM43001.2020.9158647)

2019

• Liu, G., Liu, T., Tian, G. and Ji, Z. 2019. Distributed human 3D pose estimation and action recognition.. Presented at: ROBIO 2019- International Conference on Robotics and Biomimetics, Dali, Yunnan, China, 6-8 December 20192019 IEEE International Conference on Robotics and Biomimetics (ROBIO). IEEE pp. 2316-2321., (10.1109/ROBIO49542.2019.8961741)
• Chen, J., Ji, Z., Niu, H., Setchi, R. and Yang, C. 2019. An auto-correction teleoperation method for a mobile manipulator using gaze tracking and hand motion detection. Presented at: 20th Towards Autonomous Robotic Systems Conference (TAROS), London, UK, 3-5 July 2019TAROS 2019: Towards Autonomous Robotic Systems, Vol. 11650. Springer pp. 422-433., (10.1007/978-3-030-25332-5_36)
• Niu, H., Savvaris, A., Tsourdos, A. and Ji, Z. 2019. Voronoi-visibility roadmap-based path planning algorithm for unmanned surface vehicles. Journal of Navigation 72(4), pp. 850-874. (10.1017/S0373463318001005)
• Yao, H., Wen, J., Ren, Y., Wu, B. and Ji, Z. 2019. Low-cost measurement of industrial shock signals via deep learning calibration. Presented at: International Conference on Acoustics, Speech, and Signal Processing, Brighton, UK, 12-17 May 2019ICASSP IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE pp. 2892-2896., (10.1109/ICASSP.2019.8682484)
• Ai, Q., Chen, A., Chen, K., Liu, Q., Zhou, T., Xin, S. and Ji, Z. 2019. Feature extraction of four-class motor imagery EEG signals based on functional brain network. Journal of Neural Engineering 16(2), article number: 26032. (10.1088/1741-2552/ab0328)
• Liu, H., Liu, G., Tian, G., Xin, S. and Ji, Z. 2019. Visual SLAM based on dynamic object removal. Presented at: IEEE Robio 2019, Dali, China, 6-8 December 20192019 IEEE International Conference on Robotics and Biomimetics (ROBIO). IEEE pp. 596-601., (10.1109/ROBIO49542.2019.8961397)
• Luo, Y., Liu, G., Liu, H., Liu, T., Tian, G. and Ji, Z. 2019. Simultaneous monocular visual odometry and depth reconstruction with scale recovery. Presented at: IEEE Robio 2019, Dali, China, 6-8 December 20192019 IEEE International Conference on Robotics and Biomimetics (ROBIO). IEEE pp. 682-687., (10.1109/ROBIO49542.2019.8961701)

2018

• Wu, J. and Ji, Z. 2018. Seeing the unseen: Locating objects from reflections. Presented at: 19th Towards Autonomous Robotic Systems (TAROS) Conference, Bristol, UK, 25- 27 July 2018.
• Ji, Z., Schruoffeneger, R. and Setchi, R. 2018. Autonomous 3D scene understanding and exploration in cluttered workspaces using point cloud data. Presented at: 2018 IEEE 15th International Conference on Networking, Sensing and Control (ICNSC), Zhuhai, China, 27-29 March 20182018 IEEE 15th International Conference on Networking, Sensing and Control (ICNSC). IEEE, (10.1109/ICNSC.2018.8361275)

2017

• Ji, Z. and Huang, Y. 2017. Autonomous boat dynamics: How far away is simulation from the high sea?. Presented at: OCEANS 2017, Aberdeen, 19 - 22 June 2017OCEANS 2017 - Aberdeen. IEEE, (10.1109/OCEANSE.2017.8084927)

2016

• Haworth, C., Evans, J., Ji, Z., Taylor, R. and Martin, D. 2016. An open software framework for adaptive, autonomous operation of maritime autonomous systems. Presented at: OCEANS 2016 MTS/IEEE Monterey, Monterey, CA, 19-23 September 2016OCEANS 2016 MTS/IEEE Monterey. IEEE, (10.1109/OCEANS.2016.7761329)
• Haworth, C., Evans, J., Dugan, K., Ji, Z. and Cotterell, S. 2016. UMS mission management for mixed fleets. Presented at: OCEANS'15 MTS/IEEE, Washington DC, 19-22 Oct 2015OCEANS 2015 - MTS/IEEE Washington. IEEE, (10.23919/OCEANS.2015.7404638)

2015

• Al-Moadhen, A., Packianather, M., Qiu, R., Setchi, R. and Ji, Z. 2015. Improving the efficiency of robot task planning by automatically integrating its planner and common-sense knowledge base. In: Tweedale, J. W., Jain, L. C. and Watada, J. eds. Knowledge-Based Information Systems in Practice., Vol. 30. Springer, pp. 185-198., (10.1007/978-3-319-13545-8_11)

2013

• Wang, Z. et al. 2013. Nanoscale structures for implementation of anti-reflection and self-cleaning functions. International Journal of Nanomanufacturing 9(5/6), pp. 520-531. (10.1504/IJNM.2013.057596)
• Al-Moadhen, A., Qiu, R., Packianather, M., Ji, Z. and Setchi, R. 2013. Integrating robot task planner with common-sense knowledge base to improve the efficiency of planning. Procedia Computer Science 22, pp. 211-220. (10.1016/j.procs.2013.09.097)
• Sato, Y., Ji, Z. and van Dijk, S. 2013. I think I have heard that one before : recurrence-based word learning with a robot. In: Gogate, L. and Hollich, G. eds. Theoretical and Computational Models of Word Learning: Trends in Psychology and Artificial Intelligence. IGI Global, pp. 327-349., (10.4018/978-1-4666-2973-8.ch014)
• Qiu, R. et al. 2013. The development of a semi-autonomous framework for personal assistant robots - SRS project. International Journal of Intelligent Mechatronics and Robotics 3(4), pp. 30-47. (10.4018/ijimr.2013100102)

2012

• Ji, Z. et al. 2012. Towards automated task planning for service robots using semantic knowledge representation. Presented at: 2012 10th IEEE International Conference on Industrial Informatics (INDIN), Beijing, China, 25-27 July 2012INDIN2012: IEEE 10th International Conference on Industrial Informatics. Los Alamitos, CA: IEEE pp. 1194-1201., (10.1109/INDIN.2012.6301131)
• Qiu, R. et al. 2012. Integration of symbolic task planning into operations within an unstructured environment. International Journal of Intelligent Mechatronics and Robotics 2(3), pp. 38-57. (10.4018/ijimr.2012070104)
• Qiu, R. et al. 2012. Towards robust personal assistant robots: Experience gained in the SRS project. Presented at: 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Vilamoura, Portugal, 7-12 October 2012Intelligent Robots and Systems (IROS), 2012 IEEE/RSJ International Conference on. IEEE pp. 1651-1657., (10.1109/IROS.2012.6385727)
• Soroka, A. J., Qiu, R., Noyvirt, A. and Ji, Z. 2012. Challenges for service robots operating in non-industrial environments. Presented at: 2012 10th IEEE International Conference on Industrial Informatics (INDIN, Beijing, China, 25-27 July 2012Industrial Informatics (INDIN), 2012 10th IEEE International Conference on. IEEE pp. 1152-1157., (10.1109/INDIN.2012.6301139)
• Zhang, J., Ji, Z., Jiang, S., Liang, H., Sun, H., Wang, Z. and Tan, C. 2012. Configurations of laser interference lithography for 2D/3D nanostructures of optical functional materials. Presented at: 2012 International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale (3M-NANO), Shaanxi, China, 29 August - 1st September 20122012 International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale (3M-NANO). pp. 169., (10.1109/3M-NANO.2012.6472999)

2011

• Amirabdollahian, F., Robins, B., Dautenhahn, K. and Ji, Z. 2011. Investigating tactile event recognition in child-robot interaction for use in autism therapy. Presented at: 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Boston, MA, USA, 30 August - 3 September 20112011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE pp. 5347-5351., (10.1109/IEMBS.2011.6091323)
• Qiu, R. et al. 2011. Symbolic task planning for robot operations under unstructured environment. Presented at: 1st International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale (3M-NANO), Changechun, China, 29th - 31st August 2011.
• Xu, S., Ji, Z., Pham, D. T. and Yu, F. 2011. Binary Bees Algorithm - bioinspiration from the foraging mechanism of honeybees to optimize a multiobjective multidimensional assignment problem. Engineering Optimization 43(11), pp. 1141-1159. (10.1080/0305215X.2010.542812)
• Xu, S., Yu, F., Luo, Z., Ji, Z., Pham, D. and Qiu, R. 2011. Adaptive Bees Algorithm - Bioinspiration from Honeybee Foraging to Optimize Fuel Economy of a Semi-Track Air-Cushion Vehicle. The Computer Journal 54(9), pp. 1416-1426. (10.1093/comjnl/bxq097)
• Wang, Z., Li, D., Zhang, J., Ji, Z. and Qiu, R. 2011. Robotic nanoassembly: current developments and challenges. International Journal of Computer Applications in Technology 41(3/4), pp. 185-194. (10.1504/IJCAT.2011.042694)
• Ji, Z., Amirabdollahian, F., Polani, D. and Dautenhahn, K. 2011. Histogram based classification of tactile patterns on periodically distributed skin sensors for a humanoid robot. Presented at: RO-MAN, Atlanta GA, USA, 31 Jul -3 Aug 2011. pp. 433., (10.1109/ROMAN.2011.6005261)
• Amirabdollahian, F., Robins, B., Dautenhahn, K. and Ji, Z. 2011. Investigating tactile event recognition in child-robot interaction for use in autism therapy. Presented at: 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Boston, MA, USA, 30 August - 3 September 2011. pp. 5347., (10.1109/IEMBS.2011.6091323)

2010

• Xu, S., Ji, Z., Pham, D. T. and Yu, F. 2010. Simultaneous localization and mapping: swarm robot mutual localization and sonar arc bidirectional carving mapping. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 225(3), pp. 733-744. (10.1243/09544062JMES2239)
• Xu, S., Ji, Z., Pham, D. T. and Yu, F. 2010. Bio-inspired binary bees algorithm for a two-level distribution optimisation problem. Journal of Bionic Engineering 7(2), pp. 161-167. (10.1016/S1672-6529(09)60205-5)
• Robinson, B., Amirabdollahian, F., Ji, Z. and Dautenhahn, K. 2010. Tactile interaction with a humanoid robot for children with autism: A case study analysis involving user requirements and results of an initial implementation. Presented at: 19th International Symposium in Robot and Human Interactive Communication, Viareggio, 13-15 September 201019th International Symposium in Robot and Human Interactive Communication. pp. 704., (10.1109/ROMAN.2010.5598641)

2009

• Yang, M., Pham, D., Al-Kutubi, M., Ji, Z. and Wang, Z. 2009. A new computer interface based on in-solid acoustic source localization. Presented at: 7th IEEE International Conference on Industrial Informatics, Cardiff, UK, 23-26 Jun 2009. , (10.1109/INDIN.2009.5195791)
• Meunier, M. et al. 2009. Interference lithography processes with high-power laser pulses. Presented at: SPIE LASE: Lasers and Applications in Science and Engineering, San Jose, California, 2009 Presented at Meunier, M. et al. eds.Laser Applications in Microelectronic and Optoelectronic Manufacturing VII, Vol. 7201. International Society for Optical Engineering; 1999 pp. 72010R., (10.1117/12.808834)
• Pham, D. T., Ji, Z. and Soroka, A. J. 2009. Ultrasonic distance scanning techniques for mobile robots. International Journal of Computer Aided Engineering and Technology 1(2), pp. 209-224. (10.1504/IJCAET.2009.022787)
• Ji, Z. et al. 2009. Quality inspection of nanoscale patterns produced by Laser Interference Lithography using image analysis techniques. Presented at: 2009 International Conference on Mechatronics and Automation, Changchun, China, 9-12 August 20092009 International Conference on Mechatronics and Automation. IEEE pp. 1835-1840., (10.1109/ICMA.2009.5246458)

2007

• Pham, D., Ji, Z., Peyroutet, O., Yang, M., Wang, Z. and Al-kutubi, M. 2007. Localisation of impacts on solid objects using the wavelet transform and maximum likelihood estimation. Presented at: 2nd I*PROMS Virtual International Conference, Internet, 3-14 July 2006 Presented at Pham, D. ed.Intelligent Production Machines and Systems - 2nd I*PROMS Virtual International Conference. Elsevier pp. 541-547., (10.1016/B978-008045157-2/50095-X)
• Ji, Z. 2007. Development of tangible acoustic interfaces for human computer interaction. PhD Thesis, Cardiff University.
• Pham, D., Al-Kutubi, M., Yang, M., Wang, Z. and Ji, Z. 2007. Pattern matching for tangible acoustic interfaces. In: Intelligent Production Machines and Systems. , pp. 556., (10.1016/B978-008045157-2/50097-3)