Yr Athro Ze Ji

(e/fe)

PhD FIET SMIEEE FHEA AFRIN

2026

• You, Y. , Ji, Z. and Wei, C. 2026. Towards human-centric manufacturing: Task planning under uncertainties in human–robot collaborative assembly. Robotics and Computer-Integrated Manufacturing 101 103293. (10.1016/j.rcim.2026.103293)
• Wu, Y. et al., 2026. Cooperative encirclement of multi-USVs under communication constraints via prediction-augmented multi-agent reinforcement learning. Ocean Engineering 364 (1) 126872. (10.1016/j.oceaneng.2026.126872)
• Wang, Y. et al., 2026. A depth-sensor-free next-best-view framework for efficient ArUco marker recognition in autonomous underwater vehicle charging operation. IEEE Internet of Things Journal (10.1109/jiot.2026.3728270)
• Gong, M. , Gao, Y. and Ji, Z. 2026. Prompted to explore: training-time-only LLM proposals for sample-efficient pushing grasping policies. Presented at: International Conference on Mechatronics and Automation Changchun, China 2-5 August 2026. Proceedings of ICMA. IEEE. , pp.2018-2024. (10.1109/icma69663.2026.11647618)
• Liu, S. et al. 2026. CardiffNav: A GNSS-centric multisensory dataset for robust localisation in diverse and challenging environments. Presented at: International Conference on Mechatronics and Automation Changchun, China 2-5 August 2026. Proceedings of 2026 ICMA. IEEE. , pp.1171-1177. (10.1109/icma69663.2026.11647401)
• Tian, S. et al., 2026. CA-MARL: credit-aware multi-agent reinforcement learning for USV pursuit–evasion missions under complex maritime disturbances. Maritime Engineering (10.1680/jmaen.26.00013)
• Jian, S. et al., 2026. CRAR: coherent risk-aware regulation for DRL-based mapless robot navigation. IEEE Transactions on Vehicular Technology 75 (7), pp.12577-12589. (10.1109/tvt.2026.3663705)
• Lakhani, T. et al., 2026. Methodologies for diffusion model interpretability: A systematic review. IEEE Transactions on Artificial Intelligence 7 (7), pp.3653-3670. (10.1109/TAI.2025.3648376)
• Wu, Y. et al., 2026. Multi-agent policy sharing and safety-aware action correction for multi-USV cooperative encirclement. IEEE Internet of Things Journal (10.1109/JIOT.2026.3709862)
• Wei, C. et al., 2026. AMFNet: aggregated multi-level feature interaction fusion network for defect detection on steel surfaces. Journal of Intelligent Manufacturing 37 , pp.1615-1632. (10.1007/s10845-025-02613-5)
• Wei, M. et al. 2026. A physics-informed demonstration-guided learning framework for granular material manipulation. IEEE Transactions on Neural Networks and Learning Systems 37 (4), pp.1590-1604. (10.1109/tnnls.2025.3622482)
• Zhu, M. et al., 2026. Powder spreading anomaly detection in laser powder bed fusion additive manufacturing using the full-scale feature adaptive UNet++ network. Journal of Manufacturing Processes 157 , pp.1274-1289. (10.1016/j.jmapro.2025.12.051)

2025

• Gao, Y. et al. 2025. Deep reinforcement learning for localisability-aware mapless navigation. IET Cyber-Systems and Robotics 7 (1) e70018. (10.1049/csy2.70018)
• Yan, J. et al., 2025. Mrtic Det: A structure aware detection framework for thinning stage fruit in non structured orchards. Computers and Electronics in Agriculture 239 (Part A) 110940. (10.1016/j.compag.2025.110940)
• Liu, W. et al., 2025. Safe learning for multi-robot mapless exploration. IEEE Transactions on Vehicular Technology 74 (11), pp.16947-16961. (10.1109/TVT.2025.3581872)
• Liu, Z. et al., 2025. Effects of scanning strategies and heat treatments on the microstructure and mechanical performance of a Ni-based superalloy fabricated by laser powder bed fusion. Optics & Laser Technology 189 113127. (10.1016/j.optlastec.2025.113127)
• Yang, X. , Ji, Z. and Lai, Y. 2025. Differentiable physics-based system identification for robotic manipulation of elastoplastic materials. International Journal of Robotics Research 44 (13), pp.2126-2155. (10.1177/02783649251334661)
• Wen, Q. et al. 2025. Skeleton-guided rolling-contact kinematics for arbitrary point clouds via locally controllable parameterized curve fitting. Presented at: IEEE/RSJ International Conference on Intelligent Robots and Systems Hangzhou, China 19–25 October 2025. 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE. , pp.13127-13132. (10.1109/IROS60139.2025.11246194)
• Yang, X. et al. 2025. DDBot: differentiable physics-based digging robot for unknown granular materials. IEEE Transactions on Robotics 42 , pp.152-169. (10.1109/TRO.2025.3636815)
• Tian, S. et al., 2025. Preference-based deep reinforcement learning with automatic curriculum learning for map-free UGV navigation in factory-like environments. Engineering Science and Technology, an International Journal 70 102147. (10.1016/j.jestch.2025.102147)
• You, Y. and Ji, Z. 2025. Towards human-centric manufacturing: A reinforcement learning method for physical exertion alleviation in HRCA. Robotics and Computer-Integrated Manufacturing 95 103025. (10.1016/j.rcim.2025.103025)
• You, Y. , Cai, B. and Ji, Z. 2025. An offline reinforcement learning-based framework for proactive robot assistance in assembly task. Computers & Industrial Engineering 208 111313. (10.1016/j.cie.2025.111313)
• Wei, M. et al. 2025. Celebi’s choice: causality-guided skill optimisation for granular manipulation via differentiable simulation. Presented at: IROS 2025 Hangzhou, China 19-25 October 2025. Proceedings of the 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025). IEEE.
• Wei, M. et al., 2025. Celebi’s choice: causality-guided skill optimisation for granular manipulation via differentiable simulation. Presented at: 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Hangzhou, China 19-25 October 2025. 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE. , pp.15845-15852. (10.1109/iros60139.2025.11247432)
• Wen, Q. et al. 2025. Skeleton-guided rolling-contact kinematics for arbitrary point clouds via locally controllable parameterized curve fitting. Presented at: 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Hangzhou, China 19-25 October 2025. 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE. , pp.13127-13132. (10.1109/iros60139.2025.11246194)
• Liu, S. et al. 2025. Evaluating and mitigating GNSS NLOS effects for autonomous navigation in urban environments. Presented at: The 30th International Conference on Automation and Computing (ICAC 2025) Loughborough, UK 27-29 August 2025. Proceedings of the 30th International Conference on Automation and Computing. IEEE. , pp.1-6. (10.1109/ICAC65379.2025.11196430)
• Ning, Z. , Pullin, R. and Ji, Z. 2025. GBP-LOAM: Lidar odometry and mapping using Gaussian Belief Propagation. Presented at: The 30th International Conference on Automation and Computing (ICAC 2025) Loughborough, UK 27-29 August 2025. Proceedings of the 30th International Conference on Automation and Computing. IEEE. (10.1109/ICAC65379.2025.11196354)
• Gong, M. and Ji, Z. 2025. Reinforcement learning-based pushing-grasping tasks with grasp success prediction. Presented at: 30th International Conference on Automation and Computing (ICAC) Loughborough, United Kingdom 27-29 August 2025. 2025 30th International Conference on Automation and Computing (ICAC). IEEE(10.1109/icac65379.2025.11196276)
• Alsudays, N. et al. 2025. Multi-class part parsing based on multi-class boundaries. Presented at: IEEE International Conference on Image Processing Anchorage, AK, USA 14-17 September 2025. 2025 IEEE International Conference on Image Processing (ICIP). IEEE. , pp.2498-2503. (10.1109/icip55913.2025.11084502)
• Huang, W. et al., 2025. ITCNet: long sequence time-series forecasting of underwater excavation states for cutter suction dredgers. Maritime Engineering 178 (3), pp.61-79. (10.1680/jmaen.25.00007)
• Wang, J. et al., 2025. Cognitive UAV tracking: Leveraging DRL and hybrid curriculum learning for target reacquisition. IEEE Transactions on Automation Science and Engineering 22 , pp.16547-16559. (10.1109/TASE.2025.3577984)
• Xu, M. et al. 2025. RGB-D video mirror detection. Presented at: WACV 2025 Tucson, Arizona 28 February - 04 March 2025. 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE. , pp.9640-9649. (10.1109/WACV61041.2025.00933)
• Wu, X. et al., 2025. Risk-aware deep reinforcement learning for mapless navigation of unmanned surface vehicles in uncertain and congested environments. Ocean Engineering 322 120446. (10.1016/j.oceaneng.2025.120446)
• Khan, A. H. et al., 2025. BOMO-RNN: a novel neural network controller for industrial robots with experimental validation. International Journal of Systems Science (10.1080/00207721.2025.2482871)
• Lambay, A. J. et al. 2025. Generating synthetic datasets with deep learning models for human physical fatigue analysis. Machines 13 (3) 235. (10.3390/machines13030235)
• You, Y. et al. 2025. A human digital twin approach for fatigue-aware task planning in human-robot collaborative assembly. Computers & Industrial Engineering 200 110774. (10.1016/j.cie.2024.110774)
• Munguia-Galeano, F. , Tan, A. and Ji, Z. 2025. Deep reinforcement learning with explicit context representation. IEEE Transactions on Neural Networks and Learning Systems 36 (1), pp.419-432. (10.1109/TNNLS.2023.3325633)
• Wei, C. et al., 2025. TDAD: Self-supervised industrial anomaly detection with a two-stage diffusion model. Computers in Industry 164 104192. (10.1016/j.compind.2024.104192)
• Jia, W. et al., 2025. FBSM: Foveabox-based boundary-aware segmentation method for green apples in natural orchards. Expert Systems with Applications 260 125426. (10.1016/j.eswa.2024.125426)
• Cai, B. , Wei, C. and Ji, Z. 2025. Deep reinforcement learning with multiple unrelated rewards for AGV mapless navigation. IEEE Transactions on Automation Science and Engineering 22 , pp.4323-4340. (10.1109/TASE.2024.3410162)
• Wei, M. et al. 2025. Differentiable skill optimisation for powder manipulation in laboratory automation. Presented at: IEEE/RSJ International Conference on Intelligent Robots and Systems Hangzhou, China 19-25 October 2025.

2024

• Gao, Y. et al. 2024. Mapless navigation via Hierarchical Reinforcement Learning with memory-decaying novelty. Robotics and Autonomous Systems 182 104815. (10.1016/j.robot.2024.104815)
• McGhan, F. , Ji, Z. and Grech, R. 2024. Localisation-aware fine-tuning for realistic PointGoal navigation. Presented at: 25th Towards Autonomous Robotic Systems (TAROS) Conference London, UK 21-23 August 2024. Published in: Huda, M. N. and Wang, M. eds. Proceedings Towards Autonomous Robotic Systems: 25th Annual Conference TAROS 2024. Vol. 1.Heidelberg: Springer-VerlagBerlin.
• Wen, Q. et al. 2024. What criteria define an ideal skeletonisation reference in object point clouds?. Presented at: TAROS 2024: 25th Annual Conference London, UK 21-23 August 2024. Published in: Huda, M. N. , Wang, M. and Kalganova, T. eds. Towards Autonomous Robotic Systems. 25th Annual Conference, TAROS 2024, London, UK, August 21–23, 2024, Proceedings, Part I. Lecture Notes in Computer Science Springer. , pp.422-433. (10.1007/978-3-031-72059-8_35)
• Wu, Z. et al., 2024. SAITI-DCGAN: Self-attention based deep convolutional generative adversarial networks for data augmentation of infrared thermal images. Applied Sciences 14 (23) 11391. (10.3390/app142311391)
• Tian, S. et al., 2024. FGRL: Federated growing reinforcement learning for resilient mapless navigation in unfamiliar environments. Applied Sciences 14 (23) 11336. (10.3390/app142311336)
• Jia, W. et al., 2024. FCOS-EAM: An accurate segmentation method for overlapping green fruits. Computers and Electronics in Agriculture 226 109392. (10.1016/j.compag.2024.109392)
• Wang, C. et al., 2024. Integrated learning-based framework for autonomous quadrotor UAV landing on a collaborative moving UGV. IEEE Transactions on Vehicular Technology 73 (11), pp.16092-16107. (10.1109/TVT.2024.3425755)
• Gao, Y. et al. 2024. Target tracking for quadrotors based on deep reinforcement learning. Presented at: 30th IEEE International Conference on Mechatronics and Machine Vision in Practice Leeds, UK 3-5 October 2024. 30th International Conference on Mechatronics and Machine Vision in Practice (M2VIP). IEEE. (10.1109/M2VIP62491.2024.10746058)
• Gao, Y. et al. 2024. Efficient hierarchical reinforcement learning for mapless navigation with predictive neighbouring space scoring. IEEE Transactions on Automation Science and Engineering 21 (4), pp.5457-5472. (10.1109/TASE.2023.3312237)
• Tong, Y. , Zhang, Q. and Ji, Z. 2024. Evaluating human-robot interaction user experiences in manufacturing: An initial assessment framework. Presented at: 2024 IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) Pasadena, CA, USA 26 - 30 Aug 2024. 2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN). IEEE. , pp.244-249. (10.1109/RO-MAN60168.2024.10731394)
• Wei, C. et al., 2024. Transformer-based multi-scale reconstruction network for defect detection of infrared images. IEEE Transactions on Instrumentation and Measurement 73 5037414. (10.1109/TIM.2024.3481573)
• Le Roux, L. et al. 2024. Developing rapid metal AM deformations prediction using CNN. Presented at: 17th CIRP Conference on Intelligent Computation in Manufacturing Engineering Gulf of Naples, Italy 12-14 July 2023. Vol. 126., pp.567-572. (10.1016/j.procir.2024.08.241)
• Njuod, A. et al. 2024. GRPSNET: Multi-class part parsing based on graph reasoning. Presented at: IEEE Conference on Multimedia Expo 2024 Niagara Falls, Canada 15-19 July 2024. IEEE International Conference on Multimedia and Expo (ICME). IEEE. , pp.1-10. (10.1109/ICME57554.2024.10687831)
• Wu, J. et al. 2024. Fusion of short-term and long-term attention for video mirror detection. Presented at: IEEE Conference on Multimedia Expo 2024 Niagara Falls, Canada 15-19 July 2024. 2024 IEEE International Conference on Multimedia and Expo (ICME). IEEE. , pp.1-9. (10.1109/icme57554.2024.10688367)
• Lin, F. et al. 2024. VO-safe reinforcement learning for drone navigation. Presented at: IEEE International Conference on Robotics and Automation (ICRA) Yokohama, Japan 13-17 May 2024. Proceedings of International Conference on Robotics and Automation (ICRA). IEEE. , pp.279-285. (10.1109/ICRA57147.2024.10611487)
• Lambay, A. et al. 2024. Machine learning assisted human fatigue detection, monitoring, and recovery: a review. Digital Engineering 1 100004. (10.1016/j.dte.2024.100004)
• Wen, Q. et al. 2024. Defining the ideal criteria for stable skeletonisation in object point clouds. Presented at: 40th Anniversary of the IEEE Conference on Robotics and Automation (ICRA@40) Rotterdam, Netherlands 23-26 September 2024.
• Tong, Y. et al. 2024. AR and HRC integration for enhanced pragmatic quality. Presented at: The 25th IEEE International Conference on Industrial Technology Bristol, UK 25-27 March 2024. 2024 IEEE International Conference on Industrial Technology (ICIT). IEEE. (10.1109/ICIT58233.2024.10540971)
• You, Y. , Liu, Y. and Ji, Z. 2024. Human digital twin for real-time physical fatigue estimation in human-robot collaboration. Presented at: The 25th IEEE International Conference on Industrial Technology Bristol, UK 25-27 March 2024. Proceedings of the 25th IEEE International Conference on Industrial Technology. IEEE. , pp.1-6. (10.1109/ICIT58233.2024.10541029)
• Wen, Q. et al. 2024. GLSkeleton: A geometric Laplacian-based skeletonisation framework for object point clouds. IEEE Robotics and Automation Letters 9 (5), pp.4615-4622. (10.1109/LRA.2024.3384128)
• Yang, X. and Ji, Z. 2024. Accelerating multi-step sparse reward reinforcement learning. Presented at: Cardiff University Engineering Research Conference 2023 Cardiff, UK 12-14 July 2023. Published in: Spezi, E. and Bray, M. eds. Proceedings of the Cardiff University Engineering Research Conference 2023. Cardiff: Cardiff University Press. , pp.86-90. (10.18573/conf1.u)
• Yang, X. et al. 2024. GAM: General Affordance-based Manipulation for contact-rich object disentangling tasks. Neurocomputing 578 127386. (10.1016/j.neucom.2024.127386)
• Munguia‐Galeano, F. et al., 2024. Learning to bag with a simulation‐free reinforcement learning framework for robots. IET Cyber-Systems and Robotics 6 (2) e12113. (10.1049/csy2.12113)
• Sun, J. et al. 2024. RSMPNet: Relationship guided semantic map prediction. Presented at: IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Hawaii, USA 4-8 January 2024. Proceedings of the 2024 IEEE/CVF Winter Conference on Applications of Computer Vision. IEEE. , pp.302-311. (10.1109/WACV57701.2024.00037)
• Wang, T. et al. 2024. Sparse convolutional networks for surface reconstruction from noisy point clouds. Presented at: IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Hawaii, USA 4-8 January 2024. Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision. IEEE. , pp.3200-3209. (10.1109/WACV57701.2024.00318)
• Wei, C. et al., 2024. Fast autonomous exploration with sparse topological graphs in large-scale environments. International Journal of Intelligent Robotics and Applications 8 , pp.111-121. (10.1007/s41315-023-00318-7)
• Rayamane, P. et al. 2024. PnuTac: A vision-based pneumatic tactile sensor for slip detection and object classification. Presented at: 29th IEEE International Conference On Mechatronics And Machine Vision In Practice 21 - 24 November 2023. Proceedings 29th International Conference on Mechatronics and Machine Vision in Practice (M2VIP). IEEE. (10.1109/M2VIP58386.2023.10413420)
• Herbert, P. et al. 2024. Benchmarking visual SLAM methods in mirror environments. Computational Visual Media 10 (2), pp.215-241. (10.1007/s41095-022-0329-x)
• Chen, Z. et al. 2024. SCaR: Refining skill chaining for long-horizon robotic manipulation via dual regularization. Presented at: NeurIPS 2024 Vancouver, Canada 10-15 December 2024. Vol. 37., pp.111679-111714. (10.52202/079017-3547)
• Lambay, A. J. et al. 2024. Model training through synthetic data generation:Investigating the impact on human physical fatigue. Presented at: International Conference on Applied Human Factors and Ergonomics and the Affiliated Conferences Nice, France 24 - 27 July 2024. Published in: Nunes, I. L. ed. AHFE International: Human Factors and Systems Interaction. Vol. 154.New York: AHFE Open Access. , pp.22-31. (10.54941/ahfe1005349)
• Sun, J. et al. 2024. A survey of object goal navigation. IEEE Transactions on Automation Science and Engineering 22 , pp.2292-2308. (10.1109/TASE.2024.3378010)

2023

• Wei, C. et al., 2023. PPLC: Data-driven offline learning approach for excavating control of cutter suction dredgers. Engineering Applications of Artificial Intelligence 125 106708. (10.1016/j.engappai.2023.106708)
• Tong, Y. et al. 2023. Designing an AR facial expression system for human-robots collaboration. Presented at: 28th International Conference on Automation and Computing (ICAC) Birmingham, UK 30 August - 1 September 2023. Proceedings of 28th International Conference on Automation and Computing. IEEE. (10.1109/ICAC57885.2023.10275175)
• Lu, Y. et al., 2023. ODL Net: Object detection and location network for small pears around the thinning period. Computers and Electronics in Agriculture 212 108115. (10.1016/j.compag.2023.108115)
• Lu, Y. et al., 2023. SOD head: A network for locating small fruits from top to bottom in layers of feature maps. Computers and Electronics in Agriculture 212 108133. (10.1016/j.compag.2023.108133)
• Yang, X. et al. 2023. Recent advances of deep robotic affordance learning: a reinforcement learning perspective. IEEE Transactions on Cognitive and Developmental Systems 15 (3), pp.1139-1149. (10.1109/TCDS.2023.3277288)
• Munguia-Galeano, F. et al. 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. Proceedings of 19th International Conference on Automation Science and Engineering. IEEE. , pp.1-7. (10.1109/CASE56687.2023.10260529)
• Rayamane, P. et al. 2023. Towards smooth human-robot handover with a vision-based tactile sensor. Presented at: Annual Conference Towards Autonomous Robotic Systems 13-15 September 2023. Published in: Iida, F. et al., TAROS 2023: Towards Autonomous Robotic Systems. Lecture Notes in Computer Science book series Vol. 14136. Cham, Switzerland: Springer. , pp.431-442. (10.1007/978-3-031-43360-3_35)
• Wei, C. et al., 2023. Deep reinforcement learning with heuristic corrections for UGV navigation. Journal of Intelligent and Robotic Systems 109 18. (10.1007/s10846-023-01950-y)
• Gao, Y. et al. 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. Proceedings of the 2023 IEEE International Conference on Mechatronics and Automation. IEEE. , pp.636-643. (10.1109/ICMA57826.2023.10215569)
• Lu, Y. et al., 2023. Mask Positioner: An effective segmentation algorithm for green fruit in complex environment. Journal of King Saud University - Computer and Information Sciences 35 (7) 101598. (10.1016/j.jksuci.2023.101598)
• Zhao, R. et al., 2023. FCOS-LSC: A novel model for green fruit detection in a complex orchard environment. Plant Phenomics 5 0069. (10.34133/plantphenomics.0069)
• Munguia-Galeano, F. et al., 2023. Affordance-based human-robot interaction with reinforcement learning. IEEE Access 11 , pp.31282-31292. (10.1109/ACCESS.2023.3262450)
• Alsudays, N. et al. 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 2023. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE. , pp.4022-4031. (10.1109/WACV56688.2023.00402)
• Bhaduri, D. et al. 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.
• Wang, T. et al. 2023. RPS-Net: Indoor scene point cloud completion using RBF-point sparse convolution. Presented at: EG UK Computer Graphics & Visual Computing Aberystwyth, UK 14-15 September 2023. Proceedings EG UK Computer Graphics & Visual Computing. Eurographics - The European Association for Computer Graphics. (10.2312/cgvc.20231188)

2022

• Feng, S. et al. 2022. Predicting laser powder bed fusion defects through in-process monitoring data and machine learning. Materials & Design 222 111115. (10.1016/j.matdes.2022.111115)
• Meng, J. et al., 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)
• Fajardo, J. M. et al., 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 2022. 2022 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 2022. 2022 12th International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER). IEEE. (10.1109/CYBER55403.2022.9907516)
• Yang, X. et al. 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 2022. 2022 27th International Conference on Automation and Computing (ICAC). IEEE. (10.1109/ICAC55051.2022.9911100)
• You, Y. et al. 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 2022. 2022 27th International Conference on Automation and Computing (ICAC). IEEE. (10.1109/ICAC55051.2022.9911131)
• Liu, J. et al., 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)
• Yang, X. et al. 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)
• Sun, M. et al., 2022. Bfp net: balanced feature pyramid network for small apple detection in complex orchard environment. Plant Phenomics 2022 9892464. (10.34133/2022/9892464)
• Chen, H. et al., 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 2022. 2022 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: The Eighth Asia International Symposium on Mechatronics Liuzhou, China 16-19 December 2021. Published in: Duan, B. , Umeda, K. and Kim, C. eds. Proceedings of the Eighth Asia International Symposium on Mechatronics. Vol. 885.Lecture Notes in Electrical Engineering Vol. 885. Singapore: Springer. (10.1007/978-981-19-1309-9_100)
• Lambay, A. et al. 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 2022. IFAC-PapersOnLine. Vol. 55(2).Elsevier. , pp.528-533. (10.1016/j.ifacol.2022.04.248)
• Jia, W. et al., 2022. RS-Net: robust segmentation of green overlapped apples. Precision Agriculture 23 , pp.492-513. (10.1007/s11119-021-09846-3)
• You, Y. et al. 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. et al., 2022. Learning manipulation skills with demonstrations for the swing process control of dredgers. Ocean Engineering 246 110545. (10.1016/j.oceaneng.2022.110545)
• Lin, F. et al. 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 2022. IEEE International Conference on Robotics and Biomimetics (ROBIO). IEEE. , pp.1327-1334. (10.1109/ROBIO55434.2022.10011937)

2021

• Liu, G. et al., 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)
• Ji, Z. and Amer, A. 2021. Human locomotion activity recognition using spectral analysis and convolutional neural networks. International Journal of Manufacturing Research 16 4. (10.1504/IJMR.2021.10039081)
• Djoudi, S. et al., 2021. Designing a multi-locomotion modular snake robot. Presented at: 21st Towards Autonomous Robotic Systems Conference (TAROS 2021) Virtual 8-10 September 2021. Published in: Fox, C. et al., 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)
• Lin, F. et al. 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. Published in: Fox, C. et al., 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)
• Yang, X. et al. 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. Published in: Fox, C. et al., Towards Autonomous Robotic Systems. TAROS 2021. Lecture Notes in Computer Science Springer. , pp.14-24. (10.1007/978-3-030-89177-0_2)
• 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 109665. (10.1016/j.measurement.2021.109665)
• Yao, L. et al., 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 - 1 October 2021. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE. , pp.5403-5409. (10.1109/IROS51168.2021.9636614)
• Wen, J. et al., 2021. Self-validating high-g accelerometers through data-driven methods. Sensors and Actuators A: Physical 328 112803. (10.1016/j.sna.2021.112803)
• Tian, Y. et al., 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. et al. 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 2021. 2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA). IEEE(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 108893. (10.1016/j.oceaneng.2021.108893)
• Feng, X. et al., 2021. Output feedback NCS of DoS attacks triggered by double-ended events. Security and Communication Networks 2021 6643034. (10.1155/2021/6643034)
• Yao, Z. et al., 2021. Deep learning-based prediction of piled-up status and payload distribution of bulk material. Automation in Construction 121 103424. (10.1016/j.autcon.2020.103424)
• Wen, J. et al. 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. et al., 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. Proceedings of the IEEE/SICE International Symposium on System Integration. IEEE. , pp.144-149. (10.1109/IEEECONF49454.2021.9382693)
• Niu, H. et al., 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 2021. 2021 IEEE/SICE International Symposium on System Integration (SII). IEEE. , pp.590-591. (10.1109/IEEECONF49454.2021.9382687)
• Niu, H. et al., 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 2021. 2021 IEEE/SICE International Symposium on System Integration (SII). IEEE. , pp.256-262. (10.1109/IEEECONF49454.2021.9382677)
• Niu, H. et al., 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 2021. 2021 IEEE/SICE International Symposium on System Integration (SII). IEEE. , pp.592-593. (10.1109/IEEECONF49454.2021.9382674)

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)
• Stergianelis, D. et al., 2020. 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 2020. Global Oceans 2020: Singapore – U.S. Gulf Coast. IEEE(10.1109/IEEECONF38699.2020.9389484)
• 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 2020. IEEE 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)
• He, L. et al., 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)
• Wen, J. et al. 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)
• Niu, H. et al. 2020. Energy efficient path planning for unmanned surface vehicle in spatially-temporally variant environment. Ocean Engineering 196 106766. (10.1016/j.oceaneng.2019.106766)
• Liu, G. et al., 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 2020. IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). IEEE. , pp.1167-1672. (10.1109/AIM43001.2020.9158647)

2019

• Liu, G. et al., 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 2019. 2019 IEEE International Conference on Robotics and Biomimetics (ROBIO). IEEE. , pp.2316-2321. (10.1109/ROBIO49542.2019.8961741)
• Chen, J. et al. 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 2019. TAROS 2019: Towards Autonomous Robotic Systems. Vol. 11650.Springer. , pp.422-433. (10.1007/978-3-030-25332-5_36)
• Niu, H. et al. 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. et al., 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 2019. ICASSP IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE. , pp.2892-2896. (10.1109/ICASSP.2019.8682484)
• Ai, Q. et al., 2019. Feature extraction of four-class motor imagery EEG signals based on functional brain network. Journal of Neural Engineering 16 (2) 026032. (10.1088/1741-2552/ab0328)
• Liu, H. et al., 2019. Visual SLAM based on dynamic object removal. Presented at: IEEE Robio 2019 Dali, China 6-8 December 2019. 2019 IEEE International Conference on Robotics and Biomimetics (ROBIO). IEEE. , pp.596-601. (10.1109/ROBIO49542.2019.8961397)
• Luo, Y. et al., 2019. Simultaneous monocular visual odometry and depth reconstruction with scale recovery. Presented at: IEEE Robio 2019 Dali, China 6-8 December 2019. 2019 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 2018. 2018 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 2017. OCEANS 2017 - Aberdeen. IEEE. (10.1109/OCEANSE.2017.8084927)

2016

• Haworth, C. et al., 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 2016. OCEANS 2016 MTS/IEEE Monterey. IEEE(10.1109/OCEANS.2016.7761329)
• Haworth, C. et al., 2016. UMS mission management for mixed fleets. Presented at: OCEANS'15 MTS/IEEE Washington DC 19-22 Oct 2015. OCEANS 2015 - MTS/IEEE Washington. IEEE. (10.23919/OCEANS.2015.7404638)

2015

• Al-Moadhen, A. et al., 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. et al., 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)
• 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)
• 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)

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 2012. INDIN2012: IEEE 10th International Conference on Industrial Informatics. Los Alamitos, CA: IEEE. , pp.1194-1201. (10.1109/INDIN.2012.6301131)
• 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 2012. Intelligent Robots and Systems (IROS), 2012 IEEE/RSJ International Conference on. IEEE. , pp.1651-1657. (10.1109/IROS.2012.6385727)
• 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)
• Soroka, A. J. et al. 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 2012. Industrial Informatics (INDIN), 2012 10th IEEE International Conference on. IEEE. , pp.1152-1157. (10.1109/INDIN.2012.6301139)
• Zhang, J. et al., 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 2012. 2012 International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale (3M-NANO). , pp.169. (10.1109/3M-NANO.2012.6472999)

2011

• Amirabdollahian, F. et al., 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 2011. 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE. , pp.5347-5351. (10.1109/IEMBS.2011.6091323)
• Xu, S. et al., 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)
• Ji, Z. et al. 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)
• 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.
• Wang, Z. et al., 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)
• Xu, S. et al., 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)

2010

• Xu, S. et al., 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. et al., 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. et al. 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 2010. 19th International Symposium in Robot and Human Interactive Communication. , pp.704. (10.1109/ROMAN.2010.5598641)

2009

• Yang, M. et al., 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. Published in: Meunier, M. et al., Laser Applications in Microelectronic and Optoelectronic Manufacturing VII. Vol. 7201.International Society for Optical Engineering; 1999. , pp.72010R. (10.1117/12.808834)
• 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 2009. 2009 International Conference on Mechatronics and Automation. IEEE. , pp.1835-1840. (10.1109/ICMA.2009.5246458)
• 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)

2007

• Pham, D. et al., 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. Published in: 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. et al., 2007. Pattern matching for tangible acoustic interfaces. In: Intelligent Production Machines and Systems. , pp.556. (10.1016/B978-008045157-2/50097-3)